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Naffco

<div><h4 class="jobSectionHeader">Job Summary</h4>
We are seeking an experienced Data Scientist with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.</li><li>
Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.</li><li>
Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.</li><li>
Ensure data integrity, consistency, and high performance across analytics solutions.</li><li>
Collaborate with business units to understand reporting needs and translate them into technical solutions.</li><li>
Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.</li><li>
Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.</li></ul><h4 class="jobSectionHeader">
Qualifications &amp; Experience:</h4><ul><li>
BTech / BSc in Computer Science, MCA, or equivalent technical qualification.</li><li>
2&ndash;5 years of proven experience in data analytics, modeling, and dashboard development.</li><li>
Strong expertise in Qlik Sense and SQL; experience with Oracle EBS is a plus.</li><li>
Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.</li><li>
Ability to work independently as well as collaboratively in a dynamic, fast-paced environment.</li></ul></div>

Data Scientist

SilentEight

<div>At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We&rsquo;re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! 
 
 
As a Data Scientist, you will own the end-to-end development of data solutions &mdash; from understanding business problems to deploying and maintaining models in production. You&rsquo;ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques.<h4 class="jobSectionHeader">
Responsibilities</h4><ul><li>
Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off.</li><li>
Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions.</li><li>
Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production.</li><li>
Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments.</li><li>
Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance.</li><li>
Analyze large-scale structured and unstructured datasets to extract insights and power model development.</li><li>
Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection.</li><li>
Create and maintain internal data science tooling to streamline experimentation, testing, and delivery.</li><li>
Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment.</li><li>
Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.</li></ul><h4 class="jobSectionHeader">
Requirements</h4><ul><li> 
Based in the United Arab Emirates (remote-first team; flexible working environment).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.</li><li>
Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments.</li><li>
Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).</li><li>
Skilled in graph analysis, machine learning, and unstructured data workflows.</li><li>
Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability.</li><li>
Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant.</li><li>
Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).</li><li>
Strong communication skills&mdash;translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.</li><li>
Mindset of ownership: you&rsquo;re excited to see projects through, from first prototype to deployed, customer-facing solution.</li></ul><h4 class="jobSectionHeader">
We offer:</h4><ul><li>
Full time employment</li><li>
Employee benefits</li><li>
Work-life balance: flexible working hours, remote work forever</li><li>
Career growth: Promotion and great development opportunities within the organization</li></ul></div>

talabat

<div>
 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&rsquo;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.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, ML

<div>
 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&rsquo;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.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, GenAI

<div>
 talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 We are seeking a Senior Product Manager with a strong background in artificial intelligence and a passion for building tools that empower commercial, account management, and operations teams. The role focuses on designing and delivering AI-powered solutions and agentic workflows to enhance sales productivity, drive B2B customer acquisition, accelerate onboarding, and improve account management and retention outcomes.
 </li>
 <li>
 Lead the strategy and product roadmap for AI-powered features focused on B2B sales acquisition, account onboarding, and retention workflows.
 </li>
 <li>
 Build, deploy, and refine agentic workflows and intelligent automation that support commercial and sales teams with prospecting, pipeline management, deal execution, and renewal processes.
 </li>
 <li>
 Launch AI-driven capabilities that personalize outreach, automate onboarding processes, and proactively surface account growth opportunities and churn risks.
 </li>
 <li>
 Partner with Data Science and Engineering to develop solutions that analyze customer and account data, delivering actionable insights for the commercial organization.
 </li>
 <li>
 Own the end-to-end delivery of new AI tools&mdash;ensuring internal adoption by sales and account management teams, and continuous improvement based on user feedback and business impact.
 </li>
 <li>
 Collaborate with cross-functional stakeholders (including Marketing, Revenue Operations, and Support) to align product enhancements with go-to-market priorities and customer needs.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What Success Looks Like:
 
 
 
 <ul>
 <li>
 Higher volume and improved quality of B2B lead acquisition, with measurable improvements to onboarding speed and customer satisfaction.
 </li>
 <li>
 Increased sales team productivity, faster deal cycles, and higher win rates supported by AI-driven tools.
 </li>
 <li>
 Scalable onboarding and account management journeys, leading to increased retention and expansion of key accounts.
 </li>
 <li>
 Strong adoption and advocacy from commercial teams for the AI-powered features and workflows built.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years in product management or product leadership, with at least 2 years building AI-driven products or workflow automation tools.
 </li>
 <li>
 Experience delivering commercial/B2B-focused product features that support sales, onboarding, or account retention processes.
 </li>
 <li>
 Demonstrated ability to collaborate with commercial, sales, and data science stakeholders to deliver business-impacting tools.
 </li>
 <li>
 Familiarity with AI/ML concepts (agentic workflows, workflow automation, predictive analytics) in a commercial context.
 </li>
 <li>
 Excellent communication skills, with proven ability to drive adoption and deliver value for internal business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience building AI-powered solutions for B2B SaaS, marketplaces, or enterprise software environments.
 </li>
 <li>
 Practical experience with CRM, sales enablement platforms, or customer success tooling enhanced by AI.
 </li>
 <li>
 Background in launching agentic workflows that automate or augment B2B sales and customer onboarding.
 </li>
 <li>
 MBA or advanced degree in a business, technical, or quantitative field preferred
 </li>
 </ul>
</div>

Senior Product Manager - AI

First Abu Dhabi Bank (FAB)

<div>
 
 Company Description
 
 
 
 FAB, the UAE's largest bank and one of the world's most secure financial institutions, is dedicated to creating value for its employees, customers, shareholders, and communities. Through innovation, agility, and differentiation, FAB is committed to fostering growth.
 
 
 We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.
 
 
 
 Job Description
 
 
 
 
 Core Responsibilities
 
 
 :
 
 
 
 <ul>
 <li>
 Work closely with business segments within PBG so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support acquisition, cross-sell, up-sell, retention and win back
 </li>
 <li>
 Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.
 </li>
 <li>
 Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, unstructured data sources such emails, log files, social media etc.
 </li>
 <li>
 Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
 </li>
 <li>
 Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
 
 
 </li>
 </ul>
 Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
 
 
 
 Qualifications
 
 
 
 
 Minimum Qualification:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
 </li>
 <li>
 Additional degree or certifications in the field related to the data science/Analytics is preferred.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 <ul>
 <li>
 Minimum 2 years of experience in a large Analytics or BI function in a financial services organization with relevant quantitative and qualitative research and analytics experience
 </li>
 <li>
 Experience and an understanding of a wide variety of analytical processes.
 
 
 </li>
 </ul>
 Excellent written and verbal communication skills.
 
 
 Additional Information
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 SAS (Base SAS,EMiner ,EG)
 </li>
 <li>
 Python
 </li>
 <li>
 Databricks and Dataiku platform knowledge is a plus
 </li>
 <li>
 Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing)
 </li>
 <li>
 Data Visualization (Power BI)
 </li>
 <li>
 Deep learning frameworks (Tensorflow/pytorch/Maxnet)
 </li>
 </ul>
</div>

Specialist- Data Scientist

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement models for our energy supply business using Python and other data science tools
 </li>
 <li>
 Identify, analyze, and mitigate credit risk
 </li>
 <li>
 Conduct data analysis and modeling to support risk management decisions
 </li>
 <li>
 Stay current with industry developments and regulations related to credit risk management
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience as a quantitative researcher or data scientist
 </li>
 <li>
 Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
 </li>
 <li>
 Strong statistical and modeling skills
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Experience in the energy industry is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and a stock options sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs!
 </li>
 <li>
 28 days paid annual leave per year including public holiday
 </li>
 </ul>
</div>

Quantitative Researcher

Explore 655+ Senior data scientist in Dubai this February. Find roles across top companies and apply now to boost your career.

655 senior data scientist jobs In Dubai

Data Scientist

Data Scientist

Staff Data Scientist, Algorithms, ML

Staff Data Scientist, Algorithms, GenAI

Senior Product Manager - AI

Specialist- Data Scientist

Quantitative Researcher