26 Data Science jobs in Dubai

A software development company is looking for a talented, long-term Lead DS Researcher.

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

We're looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

What we're looking for :

• Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
• Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
• Solid experience with deep learning frameworks like PyTorch or TensorFlow;
• Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
• Familiarity with medical or life science data is a strong plus;
• Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
• Comfortable working in Google Cloud Platform (GCP) environments.

Bonus points for experience with :

• State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
• Experience with pipeline orchestration tools like Airflow, Argo, etc.;
• Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
• Intermediate+ English — ability to participate in written discussions with international teams and clients.

Benefits :

• Join a mission-driven team working at the intersection of data, medicine, and impact;
• Work on meaningful challenges with long-term value for public health and healthcare quality;
• Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;
• Fully remote-friendly setup with flexibility and trust at the core.

About the opportunity

Role Summary

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders, and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain—from data collection and modeling to analysis, reporting, and experimentation—ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

What’s On Your Plate?

Responsibilities:

• Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat’s broader business goals.

• Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.

• Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat’s objectives.

• Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.

• Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.

• Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.

• Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.

• Serve as a key point of communication between the data science unit and both internal and external stakeholders. Translate complex data-driven insights into clear, understandable, and actionable recommendations for various audiences.

• Stay abreast of the latest trends and advancements in data science, logistics, and technology. Incorporate cutting-edge practices and tools into Talabat’s data science strategy to maintain a competitive edge and foster continuous improvement.

• Effectively manage resources and priorities to strike a balance between long-term strategic initiatives and immediate operational needs. Ensure that the data science team’s efforts are focused on projects with the highest potential for positive impact on Talabat’s operations.

• Design, implement, and manage experimental frameworks, such as A/B testing, to validate new ideas and measure their impact on logistics performance. Use these insights to guide continuous improvement efforts.

• Provide expert analytical support to cross-functional teams, assisting in the development of KPIs and goal-setting processes that align with Talabat’s strategic objectives.

• Lead by example to cultivate an environment of excellence and innovation within the data science team. Encourage creative thinking, continuous learning, and the exploration of new ideas to drive forward Talabat’s logistics operations.

What you need to be successful

What Did We Order?

Technical Expertise:

• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.

• Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.

• Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.

• Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.

• Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.

• Experience in data engineering and pipeline development, e.g., through tools like Airflow, is highly regarded.

• Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.

• A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.

• Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.

• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.

• Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.

• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.

Who we are

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

Direct message the job poster from Roads and Transport Authority

The Roads and Transport Authority (RTA) is looking for an experienced AI Project Manager to lead and deliver AI-driven initiatives that transform public services in Dubai. This role offers a unique opportunity to work at the forefront of smart city development, managing cutting-edge AI projects from concept to execution.

Key Responsibilities:

• Supervise the entire AI project portfolio: planning, implementation, and performance monitoring
• Lead budgeting, resource planning, and strategic alignment of AI initiatives with RTA’s AI Roadmap
• Translate business needs into feasible AI projects, conduct cost-benefit analysis, and track KPIs
• Manage vendors and service providers, ensuring project delivery meets RTA standards
• Design and deploy interactive dashboards (Power BI, Qlik Sense, Microsoft Fabric) for real-time reporting
• Drive AI innovation, mentor team members, and support AI training & capability-building programs
• Ensure alignment with data governance, security, and UAE’s national data regulations
• Collaborate across technical and business stakeholders, including IT, strategy, and external consultants

Qualifications & Skills:

• Bachelor’s or Master’s degree in Information Technology, AI, Data Science, or related field
• 14+ years of relevant experience in AI, project management, and data platforms
• Expertise in data lake, ETL pipelines, data warehousing, visualization tools, and machine learning
• Strong command of data privacy, security, enterprise architecture, and data governance frameworks
• Excellent leadership, planning, communication, and stakeholder management skills
• Proficiency in project management methodologies and business case evaluation

Be part of Dubai’s transformation into a world-class smart city

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionSupply Chain
• IndustriesGovernment Administration

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Dubai, Dubai, United Arab Emirates 3 hours ago

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Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership for critical technical and business decisions that directly impact EPAM and our clients?

As one of the worlds leading digital transformation service providers, we are expanding our Data teams in the Middle East to meet increasing client demand for our services. We are open to hiring someone at Senior Manager or Director level within the Data Science Consulting & Data Analytics Practice with a focus on Artificial Intelligence (AI) and Machine Learning (ML) solutions in the Energy / Oil & Gas sector.

The roles offer exciting opportunities to work with leading-edge data technologies, and play a highly visible role across the data practice, whilst partnering very closely with clients in an effort to help drive the local Middle East market growth.

We offer a hybrid work environment - working in the EPAM office, on client site and from home depending on the projects you will be aligned to.

Responsibilities

• Provide technical leadership and strategic direction expertise in Data Science / AI / ML, driving the design, development and implementation of solutions for clients in the Oil & Gas / Energy sector
• Collaborate with cross-functional teams to define project scope, develop data models and apply appropriate ML algorithms to deliver high-quality solutions
• Lead the identification of new AI / ML opportunities, either through selling solutions or securing funding, by leveraging your technical expertise and engaging senior decision-makers
• Shape data solutions and properly scope, price engagements, establishing optimal operating models and project team organisation and leading the transition from the sales process to the delivery phase
• Focus on practical AI application frameworks, including Data, MLOps, and LLMOps as well as actively participate in the development of Generative AI, Responsible AI, ESG, AI Security, offerings ensuring their alignment with business objectives and technical requirements
• Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication and timely issue resolution
• Engage client executives up to C-level, helping them drive enterprise-wide agenda to maximize growth
• Provide guidance and mentorship to junior team members, fostering their professional growth and development in Data Science / AI / ML
• Stay updated with the latest advancements in AI / ML and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space / markets and geographies in which the clients operate
• Support pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations

Requirements

• Bachelor's or Master's or PhD in Computer Science, Data Science, or a related field or extensive relevant work experience
• Fluent English speaker with Arabic being a strong advantage
• Experience and knowledge of the Oil & Gas / Energy sector
• Strong experience in a senior or leadership role within Data Science & Data Analytics Technology Consulting
• Proven track record in designing and implementing AI / ML, Generative AI, MLOps solutions
• Technical proficiency in programming languages such as Python, R, or Java, and ML libraries / frameworks such as TensorFlow, PyTorch or scikit-learn
• Solid understanding of ML algorithms, data pre-processing, feature selection and model evaluation techniques
• Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell AI / ML projects
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong lasting relationships
• Confident in expressing points-of-view, making recommendations and presenting analysis and recommendations up to board level where appropriate
• Ideally experience in pre-sales or supporting sales teams

We offer

• End of service gratuity
• Private healthcare and life insurance
• Employee assistance program
• Wellness program
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22, courses on LinkedIn Learning Solutions and much more
• All benefits and perks are subject to certain eligibility requirements

The Director of Data Analysis is responsible for collecting, processing, and analysing real estate data from various sources, with the aim of providing accurate, data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency, developing sector-wide performance indicators, and supporting policy formulation and investment planning based on data.

Responsibilities

• Collecting and analyzing real estate data from multiple sources
• Processing and cleaning data to ensure its accuracy, consistency, and readiness for analysis
• Analyzing real estate data to extract and update the real estate index, which enhances market transparency
• Preparing reports and dashboards to support strategic decision-making
• Developing sector performance indicators (e.g., price indices, supply and demand, occupancy rates, etc.)
• Supporting policy development and investment planning by providing data-driven recommendations
• Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
• Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market

Requirements

• Bachelor's degree in Economics, Statistics, Business Administration, Data Analysis, or a related field.
• 5 years of experience in data analysis or market research, with knowledge of the real estate market.
• Certifications in data analysis or economics are not required but are preferred
• Certifications in Data Analysis, such as RICS or CF