Python Developer Jobs in UAE

IT Manager - Enterprise Business Applications Department: Information Technology Reporting To: IT Senior Manager Location: Abu Dhabi - UAE<br>Job Summary The IT Manager - Enterprise Business Applications is the technical lead and platform authority for enterprise collaboration and Dev Ops platforms. The role leads architecture, administration, governance, integration, security, resilience, and lifecycle management for Jira, Confluence, Atlassian Cloud or Data Center, Azure Dev Ops, Git Lab, Bitbucket, Bamboo, and related applications. It leads the applications team, provides senior escalation across Linux-hosted environments, and owns platform delivery, vendors, licensing, and continuous improvement.<br>Key Responsibilities Enterprise Applications Strategy & Leadership Own target architecture, operating model, roadmap, standards, and lifecycle for Jira, Confluence, and related enterprise applications. Lead the applications team, prioritize demand, develop capability, and translate business, engineering, security, and compliance needs into scalable platform solutions. Atlassian Platform Architecture & Administration Architect, administer, optimize, and lifecycle-manage Atlassian Cloud and/or Data Center, including organizations, sites, projects, spaces, workflows, schemes, fields, permissions, automation, Marketplace apps, and licensing. Govern instance strategy, standards, consolidation, upgrades, migrations, performance, capacity, backup, recovery, retention, and adoption. Dev Ops Platforms, Automation & Integration Lead administration and governance of Azure Dev Ops, Git Lab, Bitbucket, Bamboo, repositories, pipelines, runners or agents, artifacts, access controls, release workflows, and approvals. Own APIs, webhooks, middleware, and integrations across Atlassian, Dev Ops, identity, monitoring, security, CRM/ERP, and other enterprise systems; promote automation and traceability. Linux & Application Platform Engineering Provide senior oversight for Linux-hosted application services, including RHEL/Ubuntu, JVM/Tomcat, Nginx/Apache, databases, certificates, storage, clustering, backups, patching, hardening, monitoring, and tuning. Set standards for Bash/Python automation, deployment, configuration management, log analysis, troubleshooting, disaster recovery, and controlled change. Platform Operations, Security & Compliance Define support models and establish monitoring, dashboards, capacity management, escalation paths, runbooks, and operational handover. Lead critical platform outages through restoration, root-cause analysis, and permanent corrective action. Govern administrative access, SSO/SAML/SCIM, segregation of duties, audit logging, data protection, retention, vulnerability remediation, and third-party application risk. Govern platform releases and modifications through architecture, security, testing, approval, deployment, rollback, and post-implementation review. Maintain architecture, configuration, standards, operational documentation, and executive dashboards for availability, usage, risk, compliance, delivery, and licensing. Vendors, Commercial Management & Delivery Manage application vendors, contracts, subscriptions, licences, renewals, support cases, technical escalations, vendor performance reviews, and cost optimization. Lead platform programmes, migrations, integrations, and improvements from requirements and design through delivery, adoption, and operational readiness.<br>Qualifications & Experience Bachelor's degree in Information Technology, Computer Science, Software Engineering, Information Systems, or a related field.10+ years of experience in enterprise applications, platform engineering, Dev Ops tooling, or solution architecture, including technical leadership and team management. Deep hands-on expertise with Jira, Confluence, workflows, permissions, automation, Marketplace apps, reporting, and enterprise support. Proven experience with Atlassian Cloud and/or Data Center, including multi-instance governance, migrations or consolidations, upgrades, integrations, resilience, security, and licensing. Strong experience with Azure Dev Ops, Git Lab, Bitbucket, Bamboo, Git, CI/CD governance, release governance, APIs, and SSO/SAML/SCIM integration. Strong Linux administration and troubleshooting across RHEL/Ubuntu, web and application services, scripting, databases, backup and recovery, monitoring, patching, hardening, and high availability; sound knowledge of Agile or SAFe, vendors, and contracts.<br>Professional Certifications Preferred certifications include:Atlassian Certified Professional - Jira Administration for Cloud; Atlassian Cloud Organization Admin; or equivalent Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer in Enterprise Linux (RHCE), Linux Foundation Certified System Administrator (LFCS), or equivalent Microsoft Certified: Dev Ops Engineer Expert; relevant Git Lab, SAFe, Scrum, PMP/PRINCE2, or equivalent credentials Skills & Competencies Strategic platform leadership and architecture judgement, balanced with hands-on technical depth and practical platform ownership. Strong business analysis and process design, translating complex requirements into sustainable workflows, integrations, roadmaps, and operating models. Executive communication and stakeholder influence across business, engineering, cybersecurity, infrastructure, data, procurement, finance, audit, and external partners. Team leadership, coaching, mentoring, hiring, workload prioritization, knowledge transfer, and capability development. Strong outage leadership, analytical problem-solving, root-cause analysis, documentation discipline, and decision-making under pressure. Commercial awareness, vendor negotiation, change leadership, user-adoption focus, accountability, and delivery discipline across concurrent priorities. Key Performance Indicators (KPIs) Availability, performance, resilience, user experience, and recovery from critical outages across Jira, Confluence, Dev Ops, and related platforms. Platform governance, security, access, audit, data quality, patching, licensing, and timely closure of root-cause actions. Delivery of roadmaps, migrations, integrations, automation, and improvements; adoption, stakeholder satisfaction, dashboard quality, vendor performance, renewals, utilization, cost optimization, and team capability.

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) Role Description We are seeking a Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) to design, implement, and optimize cloud-based infrastructure and solutions that support business objectives, digital transformation initiatives, and operational excellence. This role is responsible for architecting secure, scalable, and resilient cloud environments while ensuring high availability, performance, and cost efficiency across cloud platforms and infrastructure services. The successful candidate will collaborate closely with software engineers, Dev Ops teams, cybersecurity specialists, system administrators, and cross-functional stakeholders to deliver innovative and reliable cloud solutions. You will evaluate business and technical requirements, design cloud architectures, and implement infrastructure strategies that align with organizational goals, scalability requirements, and security standards. Key responsibilities include designing, deploying, and managing cloud infrastructure across platforms such as Amazon Web Services (AWS), Microsoft Azure, and other cloud ecosystems. You will develop and maintain cloud architectures that support business continuity, disaster recovery, and operational resilience while optimizing cloud resource utilization and infrastructure performance. The role also involves implementing Dev Ops practices and infrastructure automation initiatives to streamline software delivery and infrastructure management processes. You will design and maintain CI/CD pipelines, automate infrastructure provisioning using Infrastructure as Code (IaC) methodologies, and support continuous integration and deployment activities across development, testing, and production environments. You will contribute to cloud migration and modernization initiatives by assessing existing systems, developing migration strategies, and implementing cloud-native solutions that improve scalability, reliability, and operational efficiency. In addition, you will support containerization and orchestration technologies to facilitate modern application deployment and management practices within cloud environments. This position requires close collaboration with multidisciplinary teams to monitor cloud infrastructure, optimize system performance, and implement cloud governance and security best practices. You will manage cloud resources, monitor infrastructure health, troubleshoot technical issues, and support incident response and operational improvement initiatives where necessary. You will identify opportunities for infrastructure optimization, cloud cost management, and process enhancements while staying current with emerging cloud technologies, industry trends, and best practices. Success in this role requires strong technical expertise, analytical thinking, problem-solving capabilities, and the ability to manage multiple cloud initiatives within dynamic technology environments. This position offers the opportunity to contribute to cutting-edge cloud initiatives by building scalable, secure, and future-ready cloud infrastructures that support sustainable business growth and accelerate digital transformation efforts across the organization.<br><br>Qualifications Bachelor's degree or Professional Qualification in Computer Science, Information Technology, Cloud Computing, Software Engineering, Computer Engineering, or a related discipline. Strong understanding of cloud computing principles, cloud architecture design, and infrastructure management practices. Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or equivalent cloud service providers. Knowledge of Dev Ops methodologies, CI/CD pipelines, and infrastructure automation practices. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, AWS Cloud Formation, Ansible, or equivalent technologies. Understanding of containerization and orchestration technologies, including Docker, Kubernetes, and cloud-native deployment practices. Knowledge of cloud networking concepts, including virtual networks, load balancing, DNS management, and network security principles. Familiarity with cloud migration strategies, hybrid cloud architectures, and multi-cloud environments is advantageous. Understanding of cloud security best practices, identity and access management (IAM), compliance requirements, and governance frameworks. Proficiency in scripting and programming languages such as Python, Bash, Power Shell, or equivalent technologies for automation purposes. Familiarity with monitoring and logging tools for cloud infrastructure performance, observability, and operational visibility. Knowledge of Linux and Windows server administration within cloud environments is preferred. Understanding of cost optimization strategies, resource allocation practices, and cloud operational management methodologies. Ability to prepare cloud architecture diagrams, technical specifications, infrastructure documentation, and deployment plans accurately and professionally. Strong analytical thinking, technical problem-solving, and decision-making skills with excellent attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with multidisciplinary technical and business teams. Strong organizational and time management skills with the ability to manage multiple cloud initiatives and infrastructure priorities effectively. Commitment to continuous learning, technological innovation, and professional development within the cloud computing and Dev Ops domain. Professional, proactive, and results-oriented mindset with strong accountability, collaboration, and commitment to engineering excellence. Passion for designing scalable, secure, and high-performing cloud solutions that create long-term business value and technological impact.

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) Role Description We are seeking a Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) to design, implement, and optimize cloud-based infrastructure and solutions that support business objectives, digital transformation initiatives, and operational excellence. This role is responsible for architecting secure, scalable, and resilient cloud environments while ensuring high availability, performance, and cost efficiency across cloud platforms and infrastructure services. The successful candidate will collaborate closely with software engineers, Dev Ops teams, cybersecurity specialists, system administrators, and cross-functional stakeholders to deliver innovative and reliable cloud solutions. You will evaluate business and technical requirements, design cloud architectures, and implement infrastructure strategies that align with organizational goals, scalability requirements, and security standards. Key responsibilities include designing, deploying, and managing cloud infrastructure across platforms such as Amazon Web Services (AWS), Microsoft Azure, and other cloud ecosystems. You will develop and maintain cloud architectures that support business continuity, disaster recovery, and operational resilience while optimizing cloud resource utilization and infrastructure performance. The role also involves implementing Dev Ops practices and infrastructure automation initiatives to streamline software delivery and infrastructure management processes. You will design and maintain CI/CD pipelines, automate infrastructure provisioning using Infrastructure as Code (IaC) methodologies, and support continuous integration and deployment activities across development, testing, and production environments. You will contribute to cloud migration and modernization initiatives by assessing existing systems, developing migration strategies, and implementing cloud-native solutions that improve scalability, reliability, and operational efficiency. In addition, you will support containerization and orchestration technologies to facilitate modern application deployment and management practices within cloud environments. This position requires close collaboration with multidisciplinary teams to monitor cloud infrastructure, optimize system performance, and implement cloud governance and security best practices. You will manage cloud resources, monitor infrastructure health, troubleshoot technical issues, and support incident response and operational improvement initiatives where necessary. You will identify opportunities for infrastructure optimization, cloud cost management, and process enhancements while staying current with emerging cloud technologies, industry trends, and best practices. Success in this role requires strong technical expertise, analytical thinking, problem-solving capabilities, and the ability to manage multiple cloud initiatives within dynamic technology environments. This position offers the opportunity to contribute to cutting-edge cloud initiatives by building scalable, secure, and future-ready cloud infrastructures that support sustainable business growth and accelerate digital transformation efforts across the organization.<br><br>Qualifications Bachelor's degree or Professional Qualification in Computer Science, Information Technology, Cloud Computing, Software Engineering, Computer Engineering, or a related discipline. Strong understanding of cloud computing principles, cloud architecture design, and infrastructure management practices. Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or equivalent cloud service providers. Knowledge of Dev Ops methodologies, CI/CD pipelines, and infrastructure automation practices. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, AWS Cloud Formation, Ansible, or equivalent technologies. Understanding of containerization and orchestration technologies, including Docker, Kubernetes, and cloud-native deployment practices. Knowledge of cloud networking concepts, including virtual networks, load balancing, DNS management, and network security principles. Familiarity with cloud migration strategies, hybrid cloud architectures, and multi-cloud environments is advantageous. Understanding of cloud security best practices, identity and access management (IAM), compliance requirements, and governance frameworks. Proficiency in scripting and programming languages such as Python, Bash, Power Shell, or equivalent technologies for automation purposes. Familiarity with monitoring and logging tools for cloud infrastructure performance, observability, and operational visibility. Knowledge of Linux and Windows server administration within cloud environments is preferred. Understanding of cost optimization strategies, resource allocation practices, and cloud operational management methodologies. Ability to prepare cloud architecture diagrams, technical specifications, infrastructure documentation, and deployment plans accurately and professionally. Strong analytical thinking, technical problem-solving, and decision-making skills with excellent attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with multidisciplinary technical and business teams. Strong organizational and time management skills with the ability to manage multiple cloud initiatives and infrastructure priorities effectively. Commitment to continuous learning, technological innovation, and professional development within the cloud computing and Dev Ops domain. Professional, proactive, and results-oriented mindset with strong accountability, collaboration, and commitment to engineering excellence. Passion for designing scalable, secure, and high-performing cloud solutions that create long-term business value and technological impact.

Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) Role Description We are seeking a Cloud Architect / Cloud Engineer (AWS / Azure / Dev Ops / Infrastructure) to design, implement, and optimize cloud-based infrastructure and solutions that support business objectives, digital transformation initiatives, and operational excellence. This role is responsible for architecting secure, scalable, and resilient cloud environments while ensuring high availability, performance, and cost efficiency across cloud platforms and infrastructure services. The successful candidate will collaborate closely with software engineers, Dev Ops teams, cybersecurity specialists, system administrators, and cross-functional stakeholders to deliver innovative and reliable cloud solutions. You will evaluate business and technical requirements, design cloud architectures, and implement infrastructure strategies that align with organizational goals, scalability requirements, and security standards. Key responsibilities include designing, deploying, and managing cloud infrastructure across platforms such as Amazon Web Services (AWS), Microsoft Azure, and other cloud ecosystems. You will develop and maintain cloud architectures that support business continuity, disaster recovery, and operational resilience while optimizing cloud resource utilization and infrastructure performance. The role also involves implementing Dev Ops practices and infrastructure automation initiatives to streamline software delivery and infrastructure management processes. You will design and maintain CI/CD pipelines, automate infrastructure provisioning using Infrastructure as Code (IaC) methodologies, and support continuous integration and deployment activities across development, testing, and production environments. You will contribute to cloud migration and modernization initiatives by assessing existing systems, developing migration strategies, and implementing cloud-native solutions that improve scalability, reliability, and operational efficiency. In addition, you will support containerization and orchestration technologies to facilitate modern application deployment and management practices within cloud environments. This position requires close collaboration with multidisciplinary teams to monitor cloud infrastructure, optimize system performance, and implement cloud governance and security best practices. You will manage cloud resources, monitor infrastructure health, troubleshoot technical issues, and support incident response and operational improvement initiatives where necessary. You will identify opportunities for infrastructure optimization, cloud cost management, and process enhancements while staying current with emerging cloud technologies, industry trends, and best practices. Success in this role requires strong technical expertise, analytical thinking, problem-solving capabilities, and the ability to manage multiple cloud initiatives within dynamic technology environments. This position offers the opportunity to contribute to cutting-edge cloud initiatives by building scalable, secure, and future-ready cloud infrastructures that support sustainable business growth and accelerate digital transformation efforts across the organization.<br><br>Qualifications Bachelor's degree or Professional Qualification in Computer Science, Information Technology, Cloud Computing, Software Engineering, Computer Engineering, or a related discipline. Strong understanding of cloud computing principles, cloud architecture design, and infrastructure management practices. Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or equivalent cloud service providers. Knowledge of Dev Ops methodologies, CI/CD pipelines, and infrastructure automation practices. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, AWS Cloud Formation, Ansible, or equivalent technologies. Understanding of containerization and orchestration technologies, including Docker, Kubernetes, and cloud-native deployment practices. Knowledge of cloud networking concepts, including virtual networks, load balancing, DNS management, and network security principles. Familiarity with cloud migration strategies, hybrid cloud architectures, and multi-cloud environments is advantageous. Understanding of cloud security best practices, identity and access management (IAM), compliance requirements, and governance frameworks. Proficiency in scripting and programming languages such as Python, Bash, Power Shell, or equivalent technologies for automation purposes. Familiarity with monitoring and logging tools for cloud infrastructure performance, observability, and operational visibility. Knowledge of Linux and Windows server administration within cloud environments is preferred. Understanding of cost optimization strategies, resource allocation practices, and cloud operational management methodologies. Ability to prepare cloud architecture diagrams, technical specifications, infrastructure documentation, and deployment plans accurately and professionally. Strong analytical thinking, technical problem-solving, and decision-making skills with excellent attention to detail. Excellent communication and interpersonal skills with the ability to collaborate effectively with multidisciplinary technical and business teams. Strong organizational and time management skills with the ability to manage multiple cloud initiatives and infrastructure priorities effectively. Commitment to continuous learning, technological innovation, and professional development within the cloud computing and Dev Ops domain. Professional, proactive, and results-oriented mindset with strong accountability, collaboration, and commitment to engineering excellence. Passion for designing scalable, secure, and high-performing cloud solutions that create long-term business value and technological impact.

Safran. AI - Artificial Intelligence operating in the real world<br><br>A subsidiary of Safran Electronics & Defense, Safran. AI designs AI solutions applied to complex data such as high-resolution satellite imagery, FMV (Full Motion Video) streams, and acoustic signals. These solutions rely on advanced algorithms capable of automatically detecting and identifying objects of interest in the fields of intelligence, defense, and aerospace.<br><br>Since joining the Safran Group in September 2024, Safran. AI has also been contributing to the Group’s transformation by applying AI solutions to Industry 4.0 challenges. For example, AI-powered automated image analysis can support inspectors responsible for checking critical components by helping them detect potential anomalies from digital images.<br><br>With a team of 250 employees, you will join passionate and multidisciplinary teams bringing together some of the most recognized talents in the industry, all driven by the same commitment to excellence and technological innovation.<br><br>Key Challenges of the Role <br><br>As a Forward Technical Representative based in Abu Dhabi, you are the primary technical point of contact for our prospects, clients, and partners in the Middle East and North Africa region. Thanks to your experience with defence and intelligence solutions, you are able to independently demonstrate the value of Safran. AI solutions, from both a technical and functional standpoint.<br><br>Working alongside a Sales Manager also based in Abu Dhabi, you lead the technical scoping of business opportunities in order to propose high value-added solutions In close collaboration with the Product, Engineering, Deployment, and Support teams, you drive the delivery of commitments made, ensure the quality of deliverables, and contribute to the implementation of high value-added solutions, fully aligned with our clients’ challenges and needs. <br><br>Your Activities And Responsibilities
<br><br>In Support Of Business Development Ambitions<br><br>Engages with prospects to understand their business challenges, operational needs, and desired outcomes, translating them into functional requirements Designs economically viable solutions, aligned with business objectives and technical constraints, drawing on in-depth knowledge of Safran. AI’s existing products, technologies, and expertise Collaborates with the engineering teams to build and validate business proposals Builds trusted relationships with clients by sharing Safran. AI’s defence and intelligence expertise and supporting stakeholders toward successful adoption of the solutions Identifies technical risks and, where necessary, mitigates them through proofs of concept. <br><br>During Project Execution<br><br>Technical lead for the engagement, ensuring engineering is aligned with the objectives Responsible for technical exchanges with clients, ensuring discussions are at the appropriate level and take business challenges into account End-to-end responsible for delivery, driving projects to completion on time, within budget, and to the expected quality level Continuously manages delivery planning, staffing requests, and risk management, adapting the roadmap to business constraints Provides progress updates, ensuring that risks and schedule changes are escalated promptly along with recommended mitigation measures Promotes and applies company methodologies, continuously identifying opportunities for improvement. <br><br>On the Tech Side  <br><br>Our development teams use robust technologies such as Python, Fast API, Typescript, Docker, Postgre SQL, Nomad, Kubernetes, Ansible, Terraform, Grafana, PyTorch, AWS, Notion, Slack We are first and foremost a software publisher, while also being fully capable of supporting our clients on integration and infrastructure challenges according to their needs. Our scope of intervention thus covers everything from providing ready-to-use Docker images to deploying a sovereign data centre, including the integration of our solutions within third-party systems such as GIS platforms, data platforms, or command software.  <br><br>About You<br><br>About<br><br>You are passionate about innovative technologies and client relationships, enjoy international environments, and wish to grow within the demanding and stimulating world of defence:<br><br>You have at least 5 years of professional experience, including a successful first experience as a Solution Engineer in the defence and intelligence field. Profiles such as Tech Lead, Engineering Manager, Architect, or Technical Project Manager with a solid track record and an affinity for client contact will also be considered with interest You have significant international exposure, ideally in the Middle East You are proficient in English, both written and spoken You have excellent communication and presentation skills You demonstrate strong organizational skills and autonomy Ideally, you have experience with internet-disconnected on-premises deployments, integrations within enterprise information systems, and the geospatial or defence sector. <br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Responsibilities<br><br>About the Team<br><br>The LIVE team is dedicated to optimizing all aspects of Tik Tok LIVE. From content strategy, monetization, gifting, features, and data analysis to creator education, campaigns, and supporting agencies, we ensure a fun and safe space for all our LIVE users. Our mission is to drive growth, improve operational efficiency, and foster positive experiences for creators and agencies alike.<br><br>We’re seeking a highly motivated Center of Excellence Intern to support the Tik Tok LIVE MENAT team in building data-driven strategies, analyzing operational performance, codifying best practices, and driving cross-functional alignment.<br><br>This role is ideal for an analytical , and impact driven professional who is passionate about LIVE ecosystem, Creator ecosystem, and operational efficiency.<br><br>As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests<br><br>Successful candidates must be able to commit to at least 6 month long internship period. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br>Performance Analytics and Insights<br><br> Build dashboards and recurring reports to track LIVE health metrics Run deep dives on program performance, creators, formats, and campaigns; identify opportunities and risks. Conduct A/B test readouts; summarize insights into clear recommendations.<br><br>Best Practices and Playbooks<br><br> Consolidate learnings into concise playbooks for Creator Network maintenance and upgrade, and LIVE Creator optimization Maintain a knowledge base of SOPs, checklists, and process maps; ensure version control and discoverability.<br><br>Program Management Support<br><br> Assist in planning and tracking CoE initiatives across MENAT. Coordinate cross-functional inputs, define milestones, and monitor OKRs. Support pilots and scale-up efforts for new formats, tools, or operational processes.<br><br>Tooling and Automation<br><br> Design and enhance internal dashboards and templates to drive efficiency, and streamline workflows.<br><br>Stakeholder Enablement<br><br> Prepare GTMs, briefs, and post-mortems for internal teams. Synthesize complex information into crisp, actionable narratives for leadership.<br><br>Qualifications<br><br>Minimum Qualifications:<br><br> Currently pursuing or recently completed a Bachelor’s or Master’s degree in a relevant field (Business, Economics, Data/Stats, Engineering, Information Systems or Media) Strong analytical skills; comfortable with data manipulation and interpretation. Proficiency with spreadsheets and BI tools (e.g., Excel/Google Sheets, SQL basics, Tableau/Looker/Power BI). Experience with Python/R is a plus. Excellent communication and documentation skills; ability to translate data into clear stories and playbooks. Structured thinker with high ownership, attention to detail, and a bias for action. Interest in LIVE streaming, creator economy, and digital content trends in MENAT. High oral and written fluency in English and Arabic required, Chinese/Turkish is a strong plus. Our team works with stakeholders from both the Middle East and globally and will be required to communicate effectively with them.<br><br>Job Information<br><br>About Tik Tok<br><br>Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.<br><br>Why Join Us<br><br>Inspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br><br>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Tik Tok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Tik Tok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Job Description<br><br>Job Title: Geology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Geology Quality Assurance Lead to oversee quality, consistency, and trainer performance across geology and earth science AI training projects. You will review AI-generated earth science/geology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, geologic reasoning, terminology quality, spatial and temporal context, unit handling, data interpretation, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong earth science/geology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your earth science/geology quality leadership will directly help improve the world’s premier AI models by ensuring that geology and earth science training data is accurate, contextualized, clearly explained, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Geology, Earth Sciences, Geoscience, Environmental Science, Geophysics, Geochemistry, Hydrology, Paleontology, Oceanography, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in geology/earth science research, teaching, fieldwork, environmental consulting, geospatial analysis, academic review, science communication, or related workflows. Strong understanding of plate tectonics, rock cycle, mineralogy, stratigraphy, geologic time, structural geology, geomorphology, natural hazards, climate systems, hydrology, and earth system processes. Ability to evaluate earth science/geology content against detailed rubrics and identify issues such as incorrect geologic processes, wrong timescales, misleading causal claims, flawed map/data interpretation, unsupported environmental claims, or oversimplified explanations. Familiarity with tools or methods such as GIS, remote sensing, geologic mapping, field methods, core/log interpretation, geochemical data, climate datasets, Python/R, or scientific visualization is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, environmental specialists, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check geology/earth science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated geology explanations, earth science summaries, geologic process descriptions, map/data interpretations, climate or hazard explanations, and step-by-step reasoning for accuracy and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and geology/earth-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around geologic timescales, rock/mineral identification, earth systems, natural hazards, spatial reasoning, environmental interpretation, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain geology/earth science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and geology/earth-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply geology/earth science review guidelines consistently and understand updates as projects evolve. Risk review: Flag misleading, overconfident, geologically impossible, environmentally unsupported, or poorly contextualized earth science claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for earth science/geology AI training projects.

Job Description<br><br>Job Title: Geology Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Geology Quality Assurance Lead to oversee quality, consistency, and trainer performance across geology and earth science AI training projects. You will review AI-generated earth science/geology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, geologic reasoning, terminology quality, spatial and temporal context, unit handling, data interpretation, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong earth science/geology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your earth science/geology quality leadership will directly help improve the world’s premier AI models by ensuring that geology and earth science training data is accurate, contextualized, clearly explained, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Geology, Earth Sciences, Geoscience, Environmental Science, Geophysics, Geochemistry, Hydrology, Paleontology, Oceanography, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in geology/earth science research, teaching, fieldwork, environmental consulting, geospatial analysis, academic review, science communication, or related workflows. Strong understanding of plate tectonics, rock cycle, mineralogy, stratigraphy, geologic time, structural geology, geomorphology, natural hazards, climate systems, hydrology, and earth system processes. Ability to evaluate earth science/geology content against detailed rubrics and identify issues such as incorrect geologic processes, wrong timescales, misleading causal claims, flawed map/data interpretation, unsupported environmental claims, or oversimplified explanations. Familiarity with tools or methods such as GIS, remote sensing, geologic mapping, field methods, core/log interpretation, geochemical data, climate datasets, Python/R, or scientific visualization is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, environmental specialists, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check geology/earth science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated geology explanations, earth science summaries, geologic process descriptions, map/data interpretations, climate or hazard explanations, and step-by-step reasoning for accuracy and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and geology/earth-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around geologic timescales, rock/mineral identification, earth systems, natural hazards, spatial reasoning, environmental interpretation, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain geology/earth science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and geology/earth-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply geology/earth science review guidelines consistently and understand updates as projects evolve. Risk review: Flag misleading, overconfident, geologically impossible, environmentally unsupported, or poorly contextualized earth science claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for earth science/geology AI training projects.

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Job Description<br><br>Job Title: Astronomer Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Astronomer Quality Assurance Lead to oversee quality, consistency, and trainer performance across astronomy and astrophysics AI training projects. You will review AI-generated astronomy/astrophysics content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, physical reasoning, mathematical correctness, terminology quality, unit handling, observational context, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong astronomy/astrophysics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your astronomy/astrophysics quality leadership will directly help improve the world’s premier AI models by ensuring that astronomy and astrophysics training data is accurate, physically sound, clearly explained, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Astronomy, Astrophysics, Physics, Space Science, Planetary Science, Cosmology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in astronomy/astrophysics research, teaching, science communication, academic review, data analysis, observatory work, or related scientific workflows. Strong understanding of celestial mechanics, stellar evolution, galaxies, cosmology, electromagnetic radiation, observational methods, spectroscopy, planetary systems, black holes, and scientific uncertainty. Ability to evaluate astronomy/astrophysics content against detailed rubrics and identify issues such as incorrect physical assumptions, wrong units, flawed calculations, hallucinated facts, misleading explanations, or oversimplified conclusions. Familiarity with tools or methods such as Python, astronomical datasets, telescope/observatory data, spectroscopy, photometry, simulations, LaTeX, Jupyter notebooks, or scientific visualization is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, annotators, science writers, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check astronomy/astrophysics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated astronomy/astrophysics explanations, calculations, diagrams, observational interpretations, comparisons, and step-by-step reasoning for accuracy and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and astronomy/astrophysics-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around physical assumptions, units, astronomical terminology, observational methods, formulas, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain astronomy/astrophysics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and astronomy/astrophysics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply astronomy/astrophysics review guidelines consistently and understand updates as projects evolve. Risk review: Flag misleading, overconfident, physically impossible, numerically incorrect, or poorly sourced astronomy/astrophysics claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for astronomy/astrophysics AI training projects.

Job Description<br><br>Job Title: Mathematics Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mathematics quality leadership will directly help improve the world’s premier AI models by ensuring that math training data is accurate, logically sound, clearly explained, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review. Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs. Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations. Comfortable reviewing both conceptual explanations and step-by-step solutions, including whether each step logically follows from the previous one. Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, Wolfram Alpha/Mathematica, Geo Gebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical writers, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams/descriptions, and step-by-step reasoning for correctness and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and math-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain mathematics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and mathematics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve. Error-pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects.

Job Description<br><br>Job Title: Astronomer Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as an Astronomer Quality Assurance Lead to oversee quality, consistency, and trainer performance across astronomy and astrophysics AI training projects. You will review AI-generated astronomy/astrophysics content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, physical reasoning, mathematical correctness, terminology quality, unit handling, observational context, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong astronomy/astrophysics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your astronomy/astrophysics quality leadership will directly help improve the world’s premier AI models by ensuring that astronomy and astrophysics training data is accurate, physically sound, clearly explained, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Astronomy, Astrophysics, Physics, Space Science, Planetary Science, Cosmology, or a closely related field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in astronomy/astrophysics research, teaching, science communication, academic review, data analysis, observatory work, or related scientific workflows. Strong understanding of celestial mechanics, stellar evolution, galaxies, cosmology, electromagnetic radiation, observational methods, spectroscopy, planetary systems, black holes, and scientific uncertainty. Ability to evaluate astronomy/astrophysics content against detailed rubrics and identify issues such as incorrect physical assumptions, wrong units, flawed calculations, hallucinated facts, misleading explanations, or oversimplified conclusions. Familiarity with tools or methods such as Python, astronomical datasets, telescope/observatory data, spectroscopy, photometry, simulations, LaTeX, Jupyter notebooks, or scientific visualization is preferred. Experience leading or supporting remote teams of researchers, educators, reviewers, annotators, science writers, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check astronomy/astrophysics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Scientific review: Evaluate AI-generated astronomy/astrophysics explanations, calculations, diagrams, observational interpretations, comparisons, and step-by-step reasoning for accuracy and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and astronomy/astrophysics-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around physical assumptions, units, astronomical terminology, observational methods, formulas, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain astronomy/astrophysics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and astronomy/astrophysics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply astronomy/astrophysics review guidelines consistently and understand updates as projects evolve. Risk review: Flag misleading, overconfident, physically impossible, numerically incorrect, or poorly sourced astronomy/astrophysics claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for astronomy/astrophysics AI training projects.

Job Description<br><br>Job Title: Mathematics Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mathematics quality leadership will directly help improve the world’s premier AI models by ensuring that math training data is accurate, logically sound, clearly explained, well-documented, and aligned with client expectations. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile<br><br>Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review. Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs. Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations. Comfortable reviewing both conceptual explanations and step-by-step solutions, including whether each step logically follows from the previous one. Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, Wolfram Alpha/Mathematica, Geo Gebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred. Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical writers, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric-based LLM evaluation is a strong plus.<br><br>Key responsibilities<br><br>Quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, word-problem solutions, diagrams/descriptions, and step-by-step reasoning for correctness and clarity. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and math-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain mathematics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and mathematics-specific review requirements. Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve. Error-pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects.

<p>We're looking for a detail-oriented, data-driven <strong>Commercial Strategy &amp; Performance Analyst</strong> to serve as the analytical backbone of our local account team's performance function. Working closely with the Business Performance Manager, you will own the data infrastructure, reporting engines, and analytical deep-dives that power target setting, performance tracking, and bonus calculations — increasingly leveraging AI to make the function faster, smarter, and more scalable.</p><p><br></p><p>You will sit at the intersection of data analytics, commercial operations, and AI enablement, ensuring the performance engine runs accurately, efficiently, and at scale.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li><strong>Build and maintain the reporting infrastructure:</strong> own daily/weekly/monthly dashboards and recurring performance reports covering GMV, account growth, retention, and revenue for the local account portfolio.</li><li><strong>Execute bonus cycle operations:</strong> run commission and bonus calculations, validate data inputs, resolve discrepancies, and support payout timelines end to end.</li><li><strong>Own KPI tracking and data quality:</strong> ensure scorecards, dashboards, and performance data are accurate, timely, and consistently defined across markets and teams.</li><li><strong>Conduct deep-dive business analysis:</strong> account-level diagnostics, trend analysis, and root-cause investigations (e.g., why a portfolio under/over-performs) to support the Manager's recommendations.</li><li><strong>Champion AI-powered analytics:</strong> use LLM-based tools and AI agents to accelerate analysis — auto-generating performance summaries, narrative insights, and first-draft business reviews from underlying data.</li><li><strong>Build AI-enabled self-serve tools:</strong> develop copilots, chat-based data query interfaces, or automated insight alerts so account managers can get answers without waiting on analyst bandwidth.</li><li><strong>Automate and scale:</strong> identify manual reporting and analysis processes and automate them — using scripts, AI workflows, or pipeline improvements — freeing the team to focus on insight rather than data pulls.</li><li><strong>Support target setting and forecasting:</strong> build data models, machine learning–based forecasts, and scenario analyses to inform quarterly/annual goal calibration for the account team.</li><li><strong>Enable account managers:</strong> provide self-serve tools, training, and ad-hoc analytical support so AMs can answer routine performance questions independently.</li><li><strong>Partner with Data, Finance, and Sales Ops</strong> to improve data pipelines, align definitions, and resolve cross-functional data issues.</li></ul><p><br></p><p><strong>What We Need From You</strong></p><ul><li>3-5 years of experience in business analysis, commercial analytics, sales operations, or a similar data-focused role in e-commerce, food delivery, or internet platforms.</li><li><strong>Advanced SQL skills</strong> — comfortable writing complex queries, joins, and aggregations across large multi-source datasets.</li><li><strong>Expert-level Excel/Google Sheets</strong> and hands-on experience with BI tools (Tableau, Power BI, Looker, or similar), including dashboard building.</li><li><strong>Hands-on experience with AI tools in a business context:</strong> prompt engineering for analysis, LLM-assisted reporting, or building AI-agent workflows (e.g., ChatGPT/Claude, Copilot, or similar enterprise AI tools).</li><li>Experience with performance reporting for commercial teams — sales or account management KPIs, scorecards, and business reviews.</li><li>Strong attention to detail, especially with numbers that matter (bonus/commission calculations, target tracking).</li><li>Ability to work independently on analytical projects while supporting a senior leader's strategic agenda.</li><li>Structured problem-solving: can take a fuzzy business question and turn it into a clear analytical plan and answer.</li><li>Clear communication — comfortable presenting findings to commercial stakeholders and simplifying complexity for non-technical audiences.</li><li>Experience with Python/R, forecasting, or machine learning is a plus.</li></ul><p><br></p><p><strong>What Makes This Role Exciting</strong></p><ul><li>Be the analytical engine behind a high-impact performance function — your data, models, and AI tools directly drive decisions on targets, incentives, and team strategy.</li><li>Experiment at the frontier: bring AI-native ways of working to a commercial function that's still early in its AI journey — you'll define how it's done, not just follow a playbook.</li><li>Wide exposure across the business: account management, finance, data, and leadership — a strong launchpad for growth into senior performance or strategy roles.</li><li>Own real processes end to end, from dashboard design to bonus calculation, in a fast-scaling environment.</li></ul><p><br></p>

<strong>About Us<br><br></strong>Dyson's Software Test &amp; Quality Assurance ensures the products we sell represent the high Quality and Reliability of the Dyson brand, by using the world class techniques to implement automated methods of testing. This can involve simulating elements of the product to allow testing of all scenarios, to using image recognition or advanced technologies for automatic identification of elements displayed on the user interface. Quality is ensured and actively maintained during the Scaled Agile Framework development process by our QMS experts, and accepting customer correspondence to improve future products. Our labs allow unattended testing of partial to full products including moving robots, allowing the team to work remotely.<br><br><strong>About The Role<br><br></strong><ul><li>Own and define the quality and verification strategy across embedded software, app, IoT, and cloud platforms.</li><li>Build and develop high-performing Test &amp; QA teams, coach Test&amp;QA Leads and Managers.</li><li>Provide technical direction for system, integration, protocol, connectivity, security, and compliance testing. And Test architecture, automation test strategy for complex multi-platform systems.</li><li>Drive innovation in HIL automation, simulation, data-driven testing, and AI-enabled test methods.</li><li>Represent Test &amp; QA in program governance, influencing release decisions with strong quality evidence.</li><li>Oversee quality metrics, dashboards, and analytics for defect trends, maturity, and reliability insights.</li><li>Ensure compliance with industry standards: security, RF, Matter, safety, Market regulations.</li><li>Stay updated on the latest automation testing strategies, techniques, tools, and frameworks.</li><li>Collaborate with project managers, design managers and architects to test plan &amp; strategy and budget.</li><li>Report projects test progress &amp; software quality status to senior stakeholders and ensure clear communication across teams.<br><br><br></li></ul><strong>About you<br><br></strong><ul><li>Master’s degree in Computer Engineering, Electronics, Software Engineering, or similar.</li><li>15+ years in software/embedded/IoT/app/cloud testing, including 7+ years Test &amp; QA teams Manager.</li><li>Proven experience managing electronic hardware and software quality for large-scale, multi-platform consumer products.</li><li>Strong technical depth in automation (Python/C/Kotlin/Swift), CI/CD pipelines, protocol testing (BLE/Wi-Fi/MQTT), embedded testing, API testing, and mobile test frameworks.</li><li>Skilled in using test tools such as protocol analyzers, device sniffers, Simulators, mobile app and cloud test utilities.</li><li>Data-driven mindset with experience in dashboards, observability, and quality analytics. Passionate about quality, continuous improvement, and raising engineering standards.</li><li>Excellent leadership and cross-functional influencing skills. Ability to mentor teams, uplift competencies, and build a high-performance engineering culture.</li><li>Strong systems thinking across embedded, electrical, mechanical, cloud, and app ecosystems. Experience with the full electronic hardware and software development and test lifecycle and Agile development &amp; test processes.</li><li>Ability to shape long-term testing capability and lead transformation in automation and test methods. Expertise in automated testing, requirements analysis, test framework design, development, and debugging for both embedded software and IoT systems.</li><li>Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders.</li><li>Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.<br><br><br></li></ul><strong>Benefits<br><br></strong>Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.<br><br>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.<br><br>