Data Entry Jobs in UAE

We are looking for data Scientist for a three months maternity cover role based in Dubai. Below are the skills required -Minimum Experience and Knowledge:Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.5–8 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI-driven product development. Strong proficiency in Python and SQL, with a solid understanding of machine learning algorithms and analytical techniques. Proven experience building, validating, and deploying predictive and prescriptive models to solve business problems. Hands-on experience with Azure Databricks, cloud-based analytics platforms, and large-scale data environments. Strong knowledge of statistical modeling, experimentation (A/B testing), forecasting, clustering, classification, recommendation systems, and model evaluation. Experience with Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or AI-powered automation solutions is highly desirable. Experience translating business problems into scalable data science solutions and collaborating with cross-functional teams to deliver measurable business impact. Background in Retail, Customer Analytics, Digital Analytics, E-commerce, Loyalty, or CRM analytics is preferred. Excellent communication, stakeholder management, and data storytelling skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences. Strong problem-solving skills with the ability to balance technical excellence, business impact, and strategic thinking.

About the Role They are seeking an experienced Cohesity Net Backup Engineer with 10+ years of hands-on expertise in enterprise data protection, backup, and recovery solutions, along with strong working knowledge of Azure cloud infrastructure. The ideal candidate will be responsible for designing, implementing, and managing backup and disaster recovery strategies across on-premises and cloud environments using the Cohesity Net Backup platform and the Alta Data Protection cloud-native suite, ensuring data integrity, availability, and compliance across the organization.<br>Key Responsibilities Design, deploy, configure, and administer Cohesity Net Backup environments (Master/Media servers, clients, Net Backup-powered appliances) across enterprise infrastructure. Leverage the Alta Data Protection platform and Alta View console for unified visibility, orchestration, and management of backup and recovery across hybrid and multi-cloud environments. Manage end-to-end backup operations including scheduling, monitoring, troubleshooting, and performance tuning of backup and restore jobs. Implement and maintain backup policies, storage lifecycle policies, retention schedules, and data deduplication strategies. Lead backup infrastructure upgrades, migrations, and integrations, ensuring minimal downtime and zero data loss. Configure and manage backup for physical, virtual (VMware/Hyper-V), and cloud workloads. Design and implement Disaster Recovery (DR) strategies, including DR testing, failover/failback procedures, and RTO/RPO alignment. Administer backup infrastructure components including tape libraries, disk-based storage (Data Domain, Store Once, etc.), and cloud storage tiers. Manage Azure-based backup and cloud infrastructure components, ensuring secure, compliant, and cost-effective data protection for cloud workloads. Utilize Alta Recovery Vault and related cloud-based data vaulting capabilities to enable immutable, air-gapped data isolation and rapid cyber recovery. Monitor backup health, proactively resolve failures, and maintain SLAs for backup success rates. Prepare capacity planning reports, technical documentation, SOPs, and audit support materials. Collaborate with cross-functional infrastructure, security, and application teams on data protection strategy and cloud backup architecture. Provide Level 3/4 escalation support for critical backup and recovery incidents. Ensure compliance with organizational security policies, encryption standards, and regulatory requirements.<br>Required Skills & Experience Backup & Storage Expertise10+ years of experience in enterprise backup and data protection solutions. Strong hands-on expertise in Cohesity Net Backup (formerly Veritas Net Backup; versions 7.x/8.x/9.x/10.x/11.x) including Master Server, Media Server, and appliance administration. Familiarity with the Alta Data Protection cloud-native platform, including Alta View (unified management console) and Alta Recovery Vault (cloud-based cyber-resilient vaulting). Experience with backup for databases (SQL, Oracle), file systems, virtual environments (VMware/Hyper-V via NDMP/VADP), and Exchange environments. Working knowledge of complementary backup platforms (e.g., Commvault, Veeam, Rubrik, Dell Networker/Avamar/PPDM) is a plus. Experience with tape libraries, deduplication appliances (Data Domain, Store Once), and SAN/NAS/DAS storage. Strong background in Disaster Recovery planning, execution, and testing. Experience with data aging, auxiliary copies, content indexing, multiplexing, and licensing management.<br>Azure Cloud Knowledge Candidates should have solid working knowledge across the following Azure areas as they relate to backup and infrastructure operations:<br>Landing Zone Concepts: Understanding of basic Azure landing zone architecture and design principles. Subscription Demarcation: Knowledge of how Azure subscriptions are structured and segmented for governance and workload isolation. Virtual Network Concepts: Familiarity with VNets, subnets, private endpoints, and service endpoints. Connectivity: Understanding of how connectivity works within Azure and between on-premises and Azure environments (VPN, Express Route, peering). DNS in Azure: Knowledge of Azure DNS resolution, including private DNS zones. RBAC & Zero Trust: Understanding of Role-Based Access Control and Zero Trust security principles as applied to Azure environments. Storage Accounts: Intermediate-to-advanced level knowledge of Azure Storage Accounts (blob, file, tiering, redundancy options). Identity & Access: Familiarity with App Registrations, Service Principals, and Managed Identities. Microsoft Entra: Basic understanding of Microsoft Entra ID (Azure AD) concepts. Compute & Data Services: Basic knowledge of Virtual Machines, databases, and Paa S services in Azure, particularly as they relate to backup and data protection. Cost Management: Ability to perform Azure cost analysis and optimize cloud spend related to backup/storage workloads. Monitoring & Dashboarding: Understanding of Azure Monitor and dashboarding tools to gain visibility into backup platform usage and health.<br>General Skills Strong troubleshooting and root-cause analysis capabilities for complex backup/storage issues. Experience with ITIL-based change, incident, and problem management processes. Excellent communication skills with the ability to interface with technical teams, vendors, and stakeholders across geographies. Proven ability to mentor team members and lead technical initiatives. Strong documentation skills (SOPs, KPI reports, capacity planning reports).<br>Preferred Certifications Cohesity Net Backup Certified Specialist (formerly Veritas Certified Specialist – Net Backup Administration) Microsoft Certified: Azure Administrator Associate (AZ-104) AWS Certified Solutions Architect – Associate (preferred, not mandatory) ITIL Foundation Certification Additional certifications in Commvault, Veeam, or Rubrik are a plus<br>Educational Qualification Bachelor’s degree in computer science, Information Technology, or a related field (Master's degree preferred).

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities:<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Requirements:<br><br>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (Lang Chain, Open Router, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations<br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities:<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Requirements:<br><br>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (Lang Chain, Open Router, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations<br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p><span>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as a Data Analytics Officer and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage.</span></p><br><br><p><span>As a <strong>Data Analytics Officer</strong> you will support the Data Analytics Manager to document requirements, design, develop, test, deploy and maintain Business Intelligence (BI) dashboards and analytics projects aligned with the department and Groups brand, vision and strategic objectives.</span></p><br><br><p><span><strong>In this role you will:</strong></span></p><br><br><p><span>Plan<br></span></p><br><br><ul><li>Develop project plans for BI and analytics projects and initiatives.</li><li>Support the management in the planning of data requirements based on business needs and prepare required data sources.</li></ul><p><span>Deploy<br></span></p><br><br><ul><li>Collaborate with relevant business departments to assess, gather and document BI reporting requirements that are aligned with business objectives.</li></ul><p><span>Lead<br></span></p><br><br><ul><li>Regular review of BI reporting to ensure alignment with business needs</li><li>Track BI and analytics projects and initiatives against project plans, update and adjust project plans post review where required.</li><li>Monitor and provide visibility of on-going projects to the Manager with appropriate recommendations or action plans.</li></ul><p><span>Execute<br></span></p><br><br><ul><li>Liaise with business departments to gather and document BI and Analytics requirements.</li><li>Source, prepare and maintain data required for BI and Analytics projects and initiatives.</li><li>Design, develop, test and deploy and maintain BI dashboards in analytics applications.</li><li>Respond to ad-hoc reporting requirements from business users.</li><li>Train and support business users of BI and Analytics deployments.</li><li>Support the Data Analytics Manager with analytics proof of concepts and projects.</li></ul>Qualification<p><span><strong>To be considered for this role, you must meet the below requirements:</strong></span></p><br><br><p><span><u>Qualifications:</u></span></p><br><br><ul><li><span>A Level or Graduate</span></li></ul><p><span><u>Experience:</u></span></p><br><br><ul><li><span>Have 3+ years in data analysis support role.</span></li><li><span>Travel, Tourism and Cargo industry experience advantageous.</span></li></ul><br><p><span><strong>You'll have an edge if you have:</strong></span></p><br><br><p><span><u>Knowledge / Skills:</u></span></p><br><br><ul><li><span>Have experience in data analysis support.</span></li><li><span>Knowledge and experience of coding with at least one leading BI / Analytics programming language such as SQL, Python, R,</span></li><li><span>Knowledge and experience with leading BI and analytics applications such as MS Power BI, Tableau, Python, R, MS Azure or equivalent.</span></li><li><span>Knowledge and experience with data storage solutions such as SQL databases, cloud based storage solutions.</span></li><li><span>Excellent command of written and spoken English.</span></li><li><span>Strong analytical and presentation skills with an attention to detail.</span></li><li><span>Awareness of project management principles and techniques is advantageous.</span></li></ul><p><span>At Emirates Group, we’re committed to providing our employees with opportunities to grow and develop their careers. If you’re looking for a challenging and rewarding opportunity, apply today and join our team!</span></p><br><br>Salary &amp; benefits<p><span><span>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotel stays worldwide.<br>Discover what it’s like to live and work in our fast-paced, cosmopolitan home city by visiting the Dubai Lifestyle section on our career’s website:</span> </span><span><span>www.emirates.com/careers</span></span><span>.</span></p><br><br><br> </div>

Job Title: Data Scientist<br><br>Job Type: Contractor<br><br>Location: Remote<br><br> Role Overview<br><br>Partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.<br><br> Key Responsibilities Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations) Score AI-generated and human work samples against those criteria, with detailed written justifications for every score Apply consistent, evidence-based judgment so that scores are reproducible and defensible Incorporate structured feedback from senior reviewers and iterate quickly on your work Ideal Qualifications5+ years of professional data science experience in industry Background in business operations, product, or growth data science at top-tier technology companies Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders Exceptionally strong written communication Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers Prior experience with AI training, evaluation, or human-data projects is a strong plus Application Process Submit your resume or relevant technical background to get started Qualified applicants may be asked to complete a brief technical assessment or submit additional information <br><br>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.<br><br>Contract and Payment Terms<br><br>You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Payments are weekly on Stripe or Wise based on services rendered.

Job Title: Data Scientist<br><br>Job Type: Contractor<br><br>Location: Remote<br><br> Role Overview<br><br>Partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.<br><br> Key Responsibilities Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations) Score AI-generated and human work samples against those criteria, with detailed written justifications for every score Apply consistent, evidence-based judgment so that scores are reproducible and defensible Incorporate structured feedback from senior reviewers and iterate quickly on your work Ideal Qualifications5+ years of professional data science experience in industry Background in business operations, product, or growth data science at top-tier technology companies Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders Exceptionally strong written communication Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers Prior experience with AI training, evaluation, or human-data projects is a strong plus Application Process Submit your resume or relevant technical background to get started Qualified applicants may be asked to complete a brief technical assessment or submit additional information <br><br>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.<br><br>Contract and Payment Terms<br><br>You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Payments are weekly on Stripe or Wise based on services rendered.

Role: Data Privacy Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $105 - $140/hour<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contract basis. The role involves ensuring data privacy compliance through accurate annotation of datasets for AI model training. Candidates will review and label text, audio, or visual data while maintaining strict confidentiality protocols.<br>Key Responsibilities:• Annotate datasets according to privacy guidelines to support AI model development.• Identify and flag sensitive or confidential information in provided data samples.• Follow established annotation protocols to maintain consistency and accuracy.• Collaborate with team members to resolve annotation discrepancies and improve guidelines.• Document and report data privacy issues or inconsistencies to project leads.<br>Required Skills & Qualifications:• Experience with data annotation, labeling, or content moderation.• Familiarity with privacy regulations such as GDPR, CCPA, or HIPAA.• Attention to detail and ability to maintain high accuracy in repetitive tasks.• Basic understanding of AI/ML datasets and their use in training models.• Strong written communication skills for documenting findings and guidelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to secure AI model training. The contract includes flexible hours and a competitive hourly rate.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Privacy Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $105 - $140/hour<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contract basis. The role involves ensuring data privacy compliance through accurate annotation of datasets for AI model training. Candidates will review and label text, audio, or visual data while maintaining strict confidentiality protocols.<br>Key Responsibilities:• Annotate datasets according to privacy guidelines to support AI model development.• Identify and flag sensitive or confidential information in provided data samples.• Follow established annotation protocols to maintain consistency and accuracy.• Collaborate with team members to resolve annotation discrepancies and improve guidelines.• Document and report data privacy issues or inconsistencies to project leads.<br>Required Skills & Qualifications:• Experience with data annotation, labeling, or content moderation.• Familiarity with privacy regulations such as GDPR, CCPA, or HIPAA.• Attention to detail and ability to maintain high accuracy in repetitive tasks.• Basic understanding of AI/ML datasets and their use in training models.• Strong written communication skills for documenting findings and guidelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to secure AI model training. The contract includes flexible hours and a competitive hourly rate.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Privacy Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $105 - $140/hour<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contract basis. The role involves ensuring data privacy compliance through accurate annotation of datasets for AI model training. Candidates will review and label text, audio, or visual data while maintaining strict confidentiality protocols.<br>Key Responsibilities:• Annotate datasets according to privacy guidelines to support AI model development.• Identify and flag sensitive or confidential information in provided data samples.• Follow established annotation protocols to maintain consistency and accuracy.• Collaborate with team members to resolve annotation discrepancies and improve guidelines.• Document and report data privacy issues or inconsistencies to project leads.<br>Required Skills & Qualifications:• Experience with data annotation, labeling, or content moderation.• Familiarity with privacy regulations such as GDPR, CCPA, or HIPAA.• Attention to detail and ability to maintain high accuracy in repetitive tasks.• Basic understanding of AI/ML datasets and their use in training models.• Strong written communication skills for documenting findings and guidelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to secure AI model training. The contract includes flexible hours and a competitive hourly rate.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position is fully remote, providing flexibility to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Python Data Engineer | Dubai ???????? Experience: 5+ Years Notice Period: Immediate to 30 Days Preferred<br>Role: Python – Data Engineer Location: Dubai Technical skills are as below:<br>Core Python: Should be proficient in the basic concepts and features of the Python language, suchas data types, variables, operators, control structures, functions, classes, modules, exceptions, filehandling, etc. You should also be familiar with the built-in data structures and methods, such as lists,tuples, dictionaries, sets, strings, etc<br>Web Frameworks: Should have a sound knowledge of one or more web frameworks that are based on Python, such as P, Flask, Pyramid, etc. These frameworks provide tools and libraries to help you create web applications using Python. You should know how to use the framework& features, such as routing, templating, database integration, authentication, testing, etc<br>Object Relational Mappers (ORMs): Should be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provide a high-level interface to manipulate data. Some popular ORMs for Python are SQLAlchemy, Django ORM, Peewee, etc. You should know how to define models, perform CRUD operations, query data, handle transactions,etc<br>Data Science and Machine Learning: Should have some skills in data science and machinelearning, as these are some of the most common use cases for Python. You should be able to uselibraries and frameworks such as Num Py, Pandas, Sci Py, Scikit-learn, Tensor Flow, PyTorch, etc.to perform data analysis, manipulation, visualization, and modeling. You should also have a goodunderstanding of the basic concepts and algorithms of statistics, machine learning, and deep learning<br>Other Skills: Should also have some general skills that are useful for any developer, such as:Debugging and testing: Should be able to use tools and techniques to find and fix errors in yourcode, such as logging, breakpoints, unit testing, integration testing, etc<br>Version control: Should be able to use version control systems, such as Git, to manage your codeand collaborate with other developers. You should know how to create branches, commit changes,merge conflicts, push and pull requests, etc<br>Communication and teamwork: Should be able to communicate effectively with your clients,stakeholders, and colleagues, and work well in a team. You should be able to write clear and concise documentation, follow coding standards and best practices, give and receive feedback, etc

Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.<br>The Role We are seeking a motivated and detail-oriented graduate (UAE National only) to join our MEA Risk Engineering / Technology and Innovation team, supporting Marsh Specialty’s Energy and Power Risk Engineering teams.<br>This role blends process improvement, digitalization, data analysis, and hands-on exposure to risk engineering. You will help analyze how our teams work, identify inefficiencies, and contribute to building digital tools and automated solutions that improve internal processes—while also supporting risk engineering deliverables and client work.<br>Key Responsibilities Process Analysis & Digitalization: Work closely with internal teams to understand existing workflows and processes, identify opportunities for improvement, and support the design of digital solutions that increase efficiency and reduce manual effort. Innovation and Software Development: Build and maintain internal tools and applications that solve real business problems faced by our Energy and Power teams across the MEA region. Explore and apply emerging technologies, including AI and machine learning where appropriate, to develop smarter internal solutions. Data Collection & Analysis: Collect, organize, and validate data from multiple sources, including risk engineering surveys and internal databases. Analyze and interpret data using Microsoft Excel and internal tools to ensure accuracy and generate actionable insights. Collaboration with Risk Engineers: Partner closely with the MEA Energy and Power Risk Engineering teams to support risk assessments, insurance submissions, and client presentations. Provide data-driven insights to help identify and mitigate potential risks. Client Support: Support the preparation of presentations and reports and participate in internal and client meetings as required. Training & Development: Shadow experienced risk engineers during field surveys to gain practical exposure to risk engineering. Participate in ongoing training to develop expertise in risk engineering and data analysis. Tools & Software: Use Microsoft tools (Excel, Power Point, Word, etc.) to organize data, produce reports, and present findings. Leverage advanced data and automation tools to improve efficiency and depth of analysis. Organization & Multitasking: Manage multiple priorities effectively, meet deadlines in a fast-paced environment, and maintain well-organized records of data and analyses.<br>Key Requirements<br>Education: Recent graduate with a degree in Engineering, Data Science, Mathematics, or a related field. Technical skills: Strong proficiency in Microsoft Excel and the broader Microsoft Office suite. Proficiency in a programming language and familiarity with automation tools, APIs, or low-code/no-code platforms is beneficial. Analytical capability: Comfortable working with data and translating analysis into practical outputs for business stakeholders. Strong attention to detail. Communication: Strong written and verbal communication skills, with the ability to present findings clearly and professionally. Personal attributes: Proactive, eager to learn, well-organized, and able to perform well under pressure. UAE National only <br>Why Join UsLearning and development: Learn from experienced risk engineering professionals and gain exposure to major regional and global clients in the Energy and Power sector. Career progression: A unique development path with potential growth into more senior technical, analytics, technology, or client-facing roles.<br>How to Apply Please apply through the official Workday requisition link to be considered. We can only progress candidates who have submitted an application through the requisition.

Knowledge & Experience<br><br>3 years + in a similar role, ideally with financial services Advanced knowledge of statistical analysis and machine learning Highly proficient in SAS programming language (SAS 9.4) Proficient in other data science programming languages (e.g. Python, R) Experience in Dataiku and understanding of MLOps (on Azure) Experience in financial industry will be an advantage Strong communication skills and ability to present findings to senior stakeholders (non technical)<br><br>Requirements<br><br>Non-technical<br><br>Strong communication skills and ability to present findings Experience in financial industry Collaborate with cross-functional teams to understand business requirements Document all steps in the development process Stay updated with the latest developments in the field<br><br>Technical<br><br>Advanced knowledge of statistical analysis and machine learning Highly proficient in SAS programming language (SAS 9.4) Proficient is other data science programming languages (e.g. Python, R) Experience in Dataiku and understanding of MLOps (on Azure) Develop, test, implement, and maintain predictive models Identify opportunities to innovatively use data⁄ extract insights from complex data sets<br><br>Cultural fit<br><br>Owning the outcome (ownership) Being driven⁄passionate in analytics Problem solving mindset, challenging the status quo Self-organizing, independent and takes ownership of each task Meticulous to detail Thrive under pressure<br><br>KPIs<br><br>Time to deployment Model accuracy (e.g., RMSE, MAE for regression tasks) Number of business problems addressed Responsiveness to business questions⁄problems⁄requests Number of departments⁄business users supported⁄adopted the solution Stakeholder satisfaction: The level of satisfaction of stakeholders with the reports and insights provided. Collaboration effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted. Data security compliance: compliance with data security protocols and regulations.<br><br>Apply Now