Data Entry Jobs in UAE

Role: Data Analyst - Business (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis. The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.<br>Key Responsibilities:• Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.• Develop and maintain dashboards and reports to communicate key metrics and insights.• Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.• Generate ad-hoc reports and visualizations to support decision-making across departments.• Ensure data accuracy and consistency through validation and quality checks.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating relational databases.• Experience with data visualization tools such as Tableau, Power BI, or similar.• Strong analytical skills with the ability to interpret complex data sets.• Familiarity with statistical analysis and data modeling techniques.• Knowledge of Python or R for data processing and analysis is required.• Experience with Excel, including advanced functions and pivot tables.• Attention to detail and ability to work independently with minimal supervision.• Strong communication skills to present findings clearly to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to data-driven decision-making and strategic initiatives. The position is fully remote, allowing for flexible collaboration across time zones.<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 Analyst - Business (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis. The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.<br>Key Responsibilities:• Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.• Develop and maintain dashboards and reports to communicate key metrics and insights.• Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.• Generate ad-hoc reports and visualizations to support decision-making across departments.• Ensure data accuracy and consistency through validation and quality checks.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating relational databases.• Experience with data visualization tools such as Tableau, Power BI, or similar.• Strong analytical skills with the ability to interpret complex data sets.• Familiarity with statistical analysis and data modeling techniques.• Knowledge of Python or R for data processing and analysis is required.• Experience with Excel, including advanced functions and pivot tables.• Attention to detail and ability to work independently with minimal supervision.• Strong communication skills to present findings clearly to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to data-driven decision-making and strategic initiatives. The position is fully remote, allowing for flexible collaboration across time zones.<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 Analyst - Business (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis. The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.<br>Key Responsibilities:• Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.• Develop and maintain dashboards and reports to communicate key metrics and insights.• Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.• Generate ad-hoc reports and visualizations to support decision-making across departments.• Ensure data accuracy and consistency through validation and quality checks.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating relational databases.• Experience with data visualization tools such as Tableau, Power BI, or similar.• Strong analytical skills with the ability to interpret complex data sets.• Familiarity with statistical analysis and data modeling techniques.• Knowledge of Python or R for data processing and analysis is required.• Experience with Excel, including advanced functions and pivot tables.• Attention to detail and ability to work independently with minimal supervision.• Strong communication skills to present findings clearly to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to data-driven decision-making and strategic initiatives. The position is fully remote, allowing for flexible collaboration across time zones.<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!

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Platform Engineer (German Speaker) based in United Arab Emirates.<br><br>This is an outstanding opportunity for an experienced data platform engineer to lead the evolution of a large-scale, cloud-native data platform supporting business-critical analytics and reporting. In this hands-on technical leadership role, you will own the platform's architecture, operations, and long-term roadmap while driving continuous improvements in scalability, reliability, and data quality. You will work closely with cross-functional teams to transform business requirements into robust technical solutions and establish engineering best practices across the platform. Combining strategic decision-making with hands-on development, you will also champion AI-assisted engineering workflows to accelerate productivity and innovation. The position offers significant ownership, autonomy, and the opportunity to shape the future of a modern data ecosystem operating at massive scale. It is ideal for engineers who enjoy solving complex technical challenges while mentoring others and driving technical excellence.<br><br>Accountabilities<br><br>Own the end-to-end data platform strategy, architecture, and operational roadmap from data ingestion through reporting and analytics delivery. Lead the continuous optimization of a cloud-native data platform, focusing on reliability, scalability, performance, maintainability, and cost efficiency. Oversee data ingestion, streaming pipelines, batch processing, data modeling, quality assurance, and reporting workflows. Strengthen platform observability through comprehensive monitoring, alerting, incident management, and operational best practices. Define engineering standards for documentation, testing, code reviews, infrastructure management, and AI-assisted software development. Drive the adoption of AI-native engineering practices, including AI-powered coding, testing, refactoring, documentation, and code quality reviews. Collaborate closely with product, customer-facing teams, leadership, and external specialists to deliver scalable, business-focused technical solutions. Mentor engineers, provide technical leadership, and establish sustainable ownership across critical platform components.<br><br>Requirements<br><br>5+ years of experience in Data Engineering, Data Platform Engineering, Platform Engineering, or a closely related field. Strong hands-on experience designing and operating production-grade cloud-native data platforms. Solid proficiency in Go (Golang) for developing and maintaining backend services and data processing systems. Extensive experience with Google Cloud Platform services, including Cloud Run, Pub/Sub, Big Query, Dataflow, Cloud Storage, and Cloud SQL. Strong SQL skills and experience with analytical data modeling; familiarity with SQLMesh, dbt, or similar orchestration frameworks is an advantage. Practical experience with Infrastructure as Code using Terraform, CI/CD pipelines, Docker, and serverless deployment models. Experience with Protobuf or comparable schema definition and serialization technologies. Familiarity with digital audience measurement, web analytics, or related data domains is desirable. Experience using AI coding assistants and the ability to review AI-generated code with attention to quality, security, and operational reliability. Excellent communication and stakeholder management skills. Fluent German (C1 level) is required, along with good English communication skills for technical collaboration and documentation.<br><br>Benefits<br><br>Fully remote position with flexible working arrangements. High levels of autonomy and ownership in a trusted engineering environment. Opportunity to lead the evolution of a modern, large-scale cloud-native data platform. Minimal bureaucracy with an emphasis on efficient collaboration and sustainable delivery. Collaborative, supportive, and international engineering team. Access to a broad network of Saa S professionals, technical leaders, and knowledge-sharing opportunities. Transparent, location-adjusted compensation shared prior to the interview process. Strong opportunities for technical leadership, professional growth, and continuous learning.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<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.

Job Title: Data Scientist Location: Abu Dhabi (On site)**This role requires relocation to Abu Dhabi**<br>We’re hiring Data Scientists to join one of our clients. If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.<br>What you’ll be doing In this role, you’ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.<br>Key Responsibilities Work with large, complex datasets to solve real-world business problems Collect, clean, and preprocess data for analysis and model training Perform exploratory data analysis (EDA) to uncover insights and guide model development Build, train, and optimize machine learning models using modern algorithms and frameworks Develop end-to-end ML pipelines, from data ingestion to model deployment Automate model training, testing, and deployment using CI/CD and MLOps tools Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions<br>What we’re looking for5+ years of experience in data science, machine learning, or AIStrong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs) Proficiency in Python, with working knowledge of SQLExperience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop) Understanding of model serving, APIs (Fast API, Flask), and optimizing models for real-time or batch inference Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. Sage Maker, Vertex AI) Bachelor’s degree in Computer Science, Engineering, or a related field<br>If this sounds like the right next step for you, apply now!

Job Title: Data Scientist Location: Abu Dhabi (On site)**This role requires relocation to Abu Dhabi**<br>We’re hiring Data Scientists to join one of our clients. If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.<br>What you’ll be doing In this role, you’ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.<br>Key Responsibilities Work with large, complex datasets to solve real-world business problems Collect, clean, and preprocess data for analysis and model training Perform exploratory data analysis (EDA) to uncover insights and guide model development Build, train, and optimize machine learning models using modern algorithms and frameworks Develop end-to-end ML pipelines, from data ingestion to model deployment Automate model training, testing, and deployment using CI/CD and MLOps tools Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions<br>What we’re looking for5+ years of experience in data science, machine learning, or AIStrong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs) Proficiency in Python, with working knowledge of SQLExperience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop) Understanding of model serving, APIs (Fast API, Flask), and optimizing models for real-time or batch inference Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. Sage Maker, Vertex AI) Bachelor’s degree in Computer Science, Engineering, or a related field<br>If this sounds like the right next step for you, apply now!

Job Title: Data Scientist Location: Abu Dhabi (On site)**This role requires relocation to Abu Dhabi**<br>We’re hiring Data Scientists to join one of our clients. If you’re passionate about turning data into meaningful insights and building impactful AI solutions, we’d love to hear from you.<br>What you’ll be doing In this role, you’ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.<br>Key Responsibilities Work with large, complex datasets to solve real-world business problems Collect, clean, and preprocess data for analysis and model training Perform exploratory data analysis (EDA) to uncover insights and guide model development Build, train, and optimize machine learning models using modern algorithms and frameworks Develop end-to-end ML pipelines, from data ingestion to model deployment Automate model training, testing, and deployment using CI/CD and MLOps tools Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions<br>What we’re looking for5+ years of experience in data science, machine learning, or AIStrong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs) Proficiency in Python, with working knowledge of SQLExperience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop) Understanding of model serving, APIs (Fast API, Flask), and optimizing models for real-time or batch inference Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. Sage Maker, Vertex AI) Bachelor’s degree in Computer Science, Engineering, or a related field<br>If this sounds like the right next step for you, apply now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p>We are looking for a Principal Data &amp; AI to join our client on-site in Dubai.</p><br><p>​</p><br><p><b>Discover the Mission</b></p><br><p>You will oversee the end-to-end data development lifecycle: from ingestion and transformation to the productionalization of LLM-based solutions. Currently, the client is anchored in <b>SAP HANA</b>, but they are embarking toward a cloud-native future. We need a leader who can manage the current infrastructure while architecting the next generation of the data platform.</p><br><p>​</p><br><p><b>Discover the Role</b></p><br><ul><li><p><b>Architecture: </b>Evolve the cloud data architecture to support real-time analytics and ML/AI use cases.</p><br></li><li><p><b>Engineering: </b>Maintain robust ETL/ELT pipelines (dbt, Python, SQL) and implement sophisticated web scraping solutions.</p><br></li><li><p><b>AI Enablement: </b>Partner with Data Scientists to move LLM experiments into production-grade feature stores and agents.</p><br></li><li><p><b>Governance: </b>Enforce data quality and security (IAM, encryption, auditing) across the platform.</p><br></li></ul><p>​</p><br><p><b>Discover the Requirements</b></p><br><ul><li><p><b>10–12 years </b>of total experience in Data Engineering/Architecture. (with</p><br><p><b>3–4 years </b>of experience in a supervisory or lead role, with a proven ability to hire and grow teams)</p><br></li><li><p>Strong expertise in <b>SAP HANA / SAP HANA Cloud </b>(HANA modeling, Calculation Views, SDI/SDA).</p><br></li><li><p>Deep, hands-on experience with <b>BOTH Snowflake AND Databricks</b>, alongside a strong proficiency in <b>AWS or Azure</b>.</p><br></li><li><p>Proven experience building and implementing <b>LLM-based solutions</b>, Generative AI, and intelligent agents.</p><br></li><li><p>Experience hiring, mentoring, and developing world-class data engineering talent.</p><br></li><li><p>Experience communicating directly with the CEO and key stakeholders. (You can explain complex technical roadmaps to non-technical executives with clarity and confidence)</p><br></li><li><p>Holds a Bachelor’s or Master’s degree in Computer Science, Math, Statistics, or a related field.</p><br></li></ul><br> </div>

Role: Data Analyst - Finance (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a Financial Data Analyst to work on a contract basis. This role involves analyzing financial data to support decision-making and reporting. The position requires expertise in financial modeling, data visualization, and regulatory compliance.<br>Key Responsibilities:• Collect, process, and analyze financial data from multiple sources to identify trends and anomalies.• Develop and maintain financial models to forecast revenue, expenses, and cash flow.• Prepare detailed reports and dashboards for stakeholders to support strategic planning.• Ensure data accuracy and compliance with accounting standards and regulatory requirements.• Collaborate with cross-functional teams to integrate financial insights into business operations.<br>Required Skills & Qualifications:• Proficiency in financial data analysis tools such as Excel, SQL, or Python.• Experience with financial modeling and forecasting techniques.• Strong understanding of accounting principles and financial reporting standards.• Ability to create visualizations using tools like Tableau or Power BI.• Familiarity with data cleaning and validation processes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the financial services industry, contributing to accurate financial reporting and strategic decision-making.<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 Analyst - Finance (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a Financial Data Analyst to work on a contract basis. This role involves analyzing financial data to support decision-making and reporting. The position requires expertise in financial modeling, data visualization, and regulatory compliance.<br>Key Responsibilities:• Collect, process, and analyze financial data from multiple sources to identify trends and anomalies.• Develop and maintain financial models to forecast revenue, expenses, and cash flow.• Prepare detailed reports and dashboards for stakeholders to support strategic planning.• Ensure data accuracy and compliance with accounting standards and regulatory requirements.• Collaborate with cross-functional teams to integrate financial insights into business operations.<br>Required Skills & Qualifications:• Proficiency in financial data analysis tools such as Excel, SQL, or Python.• Experience with financial modeling and forecasting techniques.• Strong understanding of accounting principles and financial reporting standards.• Ability to create visualizations using tools like Tableau or Power BI.• Familiarity with data cleaning and validation processes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the financial services industry, contributing to accurate financial reporting and strategic decision-making.<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 Analyst - Finance (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a Financial Data Analyst to work on a contract basis. This role involves analyzing financial data to support decision-making and reporting. The position requires expertise in financial modeling, data visualization, and regulatory compliance.<br>Key Responsibilities:• Collect, process, and analyze financial data from multiple sources to identify trends and anomalies.• Develop and maintain financial models to forecast revenue, expenses, and cash flow.• Prepare detailed reports and dashboards for stakeholders to support strategic planning.• Ensure data accuracy and compliance with accounting standards and regulatory requirements.• Collaborate with cross-functional teams to integrate financial insights into business operations.<br>Required Skills & Qualifications:• Proficiency in financial data analysis tools such as Excel, SQL, or Python.• Experience with financial modeling and forecasting techniques.• Strong understanding of accounting principles and financial reporting standards.• Ability to create visualizations using tools like Tableau or Power BI.• Familiarity with data cleaning and validation processes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the financial services industry, contributing to accurate financial reporting and strategic decision-making.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br><p>We are seeking a highly analytical and technically proficient <strong>Credit Risk Data Analyst</strong> to support our Portfolio Oversight team. In this role, you will be responsible for managing the health and performance of the credit portfolio. You will not only build the 'Single Source of Truth' for risk data but also translate complex datasets into actionable strategies for underwriting, limit management, and loss forecasting.</p><br><p>&amp;nbsp;</p><br><strong>Key Responsibilities</strong><ul><li>Develop Portfolio Monitoring reports for internal and external communications</li><li>Design and optimize data-driven credit strategies, including underwriting criteria, credit limit assignments, risk-based pricing &amp;amp; merchant risk strategy</li><li>Conduct deep-dive analysis on risk exposure versus profitability to identify opportunities for product expansion or de-risking.</li><li>Develop and track Early Warning Indicators to detect abnormal risk trends and shifts in macroeconomic conditions</li><li>Conduct rigorous A/B testing to verify hypotheses and evaluate the impact of strategy changes on portfolio profitability and delinquency</li><li>Assess business operations &amp;amp; market trends to enhance competitive positioning</li><li>Build and optimize automated data pipelines to enhance the efficiency and scalability of risk monitoring</li><li>Perform continuous system analysis to identify data inconsistencies and drive initiatives that elevate data governance standards</li><li>Partner with Cross-functional teams (Data Science, Data, Finance, Product, Technology teams) to ensure credit risk data is correctly accounted in reporting</li></ul><p>&amp;nbsp;</p><br><strong>Requirements</strong><ul><li>Bachelor’s or Master’s degree in a quantitative field (Statistics, Data Science, Math, Quantitative Finance, or Related fields).</li><li>3+ years of post qualification experience handling analytics and/or credit risk.</li><li>Strong analytical skills &amp;amp; experience in data management</li><li>Prior Experience in Retail/SME Banking, Fintech, or Credit Ratings is a plus</li><li>Familiarity with the end-to-end credit life cycle, including anti-fraud, collections, merchant health and post-loan management</li><li>Proficiency in SQL, Excel (Advanced/VBA), PPT, Tableau &amp;amp; Python(optional)</li></ul><ul><li>Exceptional attention to detail with the ability to identify data anomalies quickly.</li><li>Effective communication skills to present technical insights to non-technical business partners</li><li>Ability to navigate ambiguity, develop testable hypothesis &amp;amp; drive actionable insights</li></ul> </div>

Role: Data Science engineer (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 Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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 Science engineer (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 Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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 Science engineer (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 Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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 Science engineer (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 Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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 Science engineer (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 Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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 Science engineer (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 Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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 Science engineer (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 Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<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 that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Description We are looking for a Data &amp; AI Architect with strong hands-on experience to design and deliver data-driven and AI solutions.<br> This role focuses on building practical, scalable systems while working closely with clients to understand requirements and translate them into working solutions.<br> The ideal candidate brings around 10+ years of overall experience, with recent focus on GenAI, LLMs, and multi-agent systems, and is comfortable operating across both architecture and implementation.<br> Visa Sponsorship Health Insurance Development Plans Responsibilities Design and implement data and AI solutions, including GenAI and LLM-based systems Work directly with clients to understand business needs and translate them into technical solutions Lead solution design from concept to delivery, ensuring practical and scalable architecture Contribute hands-on to development when needed (prototyping, architecture reviews, troubleshooting) Build and deploy multi-agent and AI-driven workflows where relevant Collaborate with engineering, data, and business teams to ensure smooth delivery Support pre-sales discussions with RFP, solution ideas, demos, and technical inputs Ensure solutions follow good practices in scalability, security, and maintainability Required Skills &amp; Experience 10+ years of experience in data, software, or AI-related roles Strong hands-on experience with GenAI, LLMs, and multi-agent systems (at least 4 years) Proven track record of delivering end-to-end solutions from requirements to production Good understanding of data platforms, APIs, and system design Experience working in client-facing roles and managing expectations Ability to balance architecture thinking with practical implementation Strong communication skills for both technical and non-technical stakeholders Technical Exposure Experience with modern data platforms (data lakes, warehouses, streaming where needed) Familiarity with LLM ecosystems, orchestration frameworks, and AI deployment patterns Cloud experience (AWS, Azure, or GCP) Understanding of microservices, APIs, and event-driven architectures Exposure to MLOps / LLMOps practices</span> </div>