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Capgemini Engineering

<div>At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
<div><div><div><h2 class="jobSectionHeader">Your Role
</h2></div><div>We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
Key responsibilities of this role:
<ul><li>Collect, clean, and preprocess structured and unstructured data from various sources.
</li><li>Develop and implement statistical models, machine learning algorithms, and data mining techniques.
</li><li>Perform exploratory data analysis to identify trends, patterns, and anomalies.
</li><li>Translate business problems into analytical solutions and communicate findings effectively.
</li><li>Collaborate with cross-functional teams to integrate data science solutions into business processes.
</li><li>Create visualizations and dashboards to present insights to stakeholders.
</li><li>Continuously monitor model performance and update models as needed.
</li><li>Document methodologies, experiments, and results for reproducibility and knowledge sharing.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Your Profile
</h2></div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
</li><li>2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
</li><li>Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
</li><li>Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
</li><li>Strong understanding of statistical analysis, predictive modeling, and data wrangling.
</li><li>Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
</li><li>Excellent problem-solving and communication skills.
</li><li>Experience with Agile/Scrum methodologies is a plus.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">What You&rsquo;ll Love About Working Here 
</h2></div><div></div><div><div><ul><li>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</li></ul></div><div><ul><li>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</li></ul></div><div><ul><li>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</li></ul></div></div></div></div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div>

Data Scientist

Emirates Leisure Retail

<div>
 
 
 About Us
 
 
 
 
 
 
 Emirates Leisure Retail (ELR) is subsidiaries of the Emirates Group, committed to excellence in the food and beverage industries. ELR operates a diverse portfolio of over 300+ food and beverage outlets across the globe, featuring internationally acclaimed brands like Costa Coffee UAE and Pret A Manger. ELR embodies our businesses dedication to innovation, quality, and exceptional customer experiences.
 
 
 About the Role: We&rsquo;re looking for enthusiastic and customer-focused Team Leader to join our team across our food and beverage outlets delivering exceptional customer experiences, ensuring high-quality service, and fostering a collaborative work environment. Whether customer-facing, supporting with food preparation, or providing operational support, you&rsquo;ll play a vital part in creating memorable experiences for our customers while working as part of a dynamic and supportive team.
 
 
 
 
 
 
 Role Purpose
 
 
 
 
 
 
 
 
 
 As a Data Scientist within the CRM &amp; Loyalty team, you&rsquo;ll transform customer and operational data into powerful strategies that elevate how we engage, retain, and grow our customer base. You will own and be the champion of measurement and advanced analytics, uncovering hidden patterns that drive smarter decisions and tangible results.
 
 
 
 
 
 This is a high-impact role where your insights will directly influence key decisions, fuel loyalty innovation, and shape the customer journey across our e-commerce platform, mobile app, retail stores and b2b accounts. Beyond CRM &amp; Loyalty, you&rsquo;ll also partner with cross-functional teams to address strategic challenges in retail operations, pricing &amp; promotions, category strategy, and B2B performance &mdash; solving high-value business problems with data.
 
 
 
 
 
 By combining statistical modelling, machine learning, and domain knowledge, you will provide deep, actionable insights that empower the business to anticipate customer needs, design personalized experiences, and strengthen our position as the region&rsquo;s leading master franchise of a global coffee brand.
 
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Build and evolve customer data architecture to support advanced analytics, segmentation, and campaign personalization across CRM and loyalty ecosystems.
 </li>
 <li>
 Develop predictive models and analytical frameworks to forecast customer behavior, optimize program performance, and drive data-informed decision-making.
 </li>
 <li>
 Transform complex data into actionable insights, delivering clear recommendations that improve targeting, retention, and lifetime value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., BI, marketing, e-commerce, retail, category) to align data science efforts with strategic business goals.
 </li>
 <li>
 Continuously explore new tools and trends in data science to maintain technical excellence and deliver innovative customer solutions.
 </li>
 <li>
 Perform statistical analysis and/or data mining methods to discover hidden patterns and relations in data to answer business questions
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Required Skills, Experience &amp; Qualification
 
 
 
 
 
 <ul>
 <li>
 Minimum 5 years&rsquo; experience in data analytics.
 </li>
 <li>
 Proficient in SQL and Python/R, using them to solve real business problems.
 </li>
 <li>
 Strong understanding of customer behaviour and drivers of retention, loyalty, and value.
 </li>
 <li>
 Skilled at simplifying complex concepts and collaborating with marketing, e-commerce, and BI teams.
 </li>
 <li>
 Knowledge in data visualization tools like Power BI or Tableau or Looker
 </li>
 <li>
 Passionate about segmentation, uplift modelling, and campaign design.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desirable Skills
 
 
 
 
 
 <ul>
 <li>
 Experience in consuming API&rsquo;s and automating processes with API&rsquo;s
 </li>
 <li>
 Experience in retail business/e-commerce
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us
 
 
 
 
 
 
 Join
 
 MMI
 
 and use your data science expertise to shape the future of our CRM, loyalty, and e-commerce strategies. Collaborating with marketing, retail, and digital teams, you&rsquo;ll see your insights directly influence business decisions, customer experiences, and revenue growth &mdash; all within a forward-thinking organisation that values innovation, collaboration, and measurable impact.
 
 
 
 
</div>

talabat

<div>
 
 
 Company Description:
 
 
 
 
 
 
 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
 
 
 
 
 
 
 
 Role Summary:
 
 
 
 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 analysis 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.
 
 
 
 
 
 
 What&rsquo;s On Your Plate?
 
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </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
 
 
 
 
 
 
 
 What Did We Order?
 
 
 
 
 
 
 
 Technical Experience:
 
 
 
 
 
 <ul>
 <li>
 Excellent SQL experience
 </li>
 <li>
 
 A/B testing, experimentation (randomization, burn-in/out periods, switchback experiments) - mandatory experience
 
 </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 analysis 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) is a plus.
 </li>
 <li>
 Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) 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>
 3-5 years of overall experience working in data science and machine learning.
 </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>

The Entertainer FZ LLC

<div>About Us 
 
The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that &quot;experience is everything,&quot; and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees. 
 
About the Role 
 
We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization. 
 
As a Data Scientist you will 
 
Strategic Impact &amp; Business Influence<ul><li>
Define and execute a holistic data science strategy aligned with B2C growth goals.</li><li>
Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.</li><li>
Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.</li><li>
Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.</li><li>
Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
</li></ul> 
Product &amp; Business Intelligence<ul><li>
Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.</li><li>
Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.</li><li>
Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.</li><li>
Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.</li><li>
Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.</li><li>
Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.</li><li>
Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.
</li></ul> 
Analytics Engineering &amp; Infrastructure<ul><li>
Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.</li><li>
Lead development of dashboards and self-serve analytics tools for key stakeholders.</li></ul> 

What we&rsquo;re looking for<ul><li>
3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.</li><li>
Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.</li><li>
Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.</li><li>
Proficiency in designing experiments (A/B testing) and statistical inference techniques.</li></ul> 

Preferred:<ul><li>
Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.</li><li>
Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).</li><li>
Familiarity with modern data visualization tools like Tableau, Power BI.</li></ul> 

Core Competencies<ul><li>
Strategic thinker with strong business acumen and the ability to translate data into commercial impact.</li><li>
Excellent communication and storytelling skills to influence executive stakeholders.</li><li>
Track record of delivering high-impact insights and building analytics capabilities from scratch.</li><li>
Strong mentoring, coaching, and cross-functional collaboration abilities.</li></ul> 

What We Offer<ul><li>
Competitive salary and benefits package.</li><li>
Opportunity to work with an energetic and innovative company.</li><li>
A chance to contribute to the success of a well-known UAE brand.</li></ul>
AdJwLsSZTb</div>

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 Your Role
 
 
 We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
 
 
 
 Key Responsibilities Of This Role
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement statistical models, machine learning algorithms, and data mining techniques.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Translate business problems into analytical solutions and communicate findings effectively.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data science solutions into business processes.
 </li>
 <li>
 Create visualizations and dashboards to present insights to stakeholders.
 </li>
 <li>
 Continuously monitor model performance and update models as needed.
 </li>
 <li>
 Document methodologies, experiments, and results for reproducibility and knowledge sharing.
 
 
 </li>
 </ul>
 Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
 </li>
 <li>
 Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and data wrangling.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience with Agile/Scrum methodologies is a plus.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 <ul>
 <li>
 Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
 </li>
 <li>
 Career Growth Opportunities&mdash;Access diverse roles and career development programs.
 </li>
 <li>
 Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Hays

<div>
 
 
 Lead Data Scientist
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 We&rsquo;re looking for a dynamic Lead Data Scientist to drive end-to-end delivery of impactful AI and data science solutions. You&rsquo;ll lead a small, high-performing team, work closely with senior stakeholders, and champion data-driven decision-making across the business. This is a hands-on leadership role ideal for someone with a fintech or start-up background who thrives in fast-paced, agile environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Lead and mentor a team of data scientists, fostering a collaborative and innovative culture.
 </li>
 <li>
 Own delivery of AI/ML projects from ideation to deployment.
 </li>
 <li>
 Engage with senior stakeholders to align data initiatives with business goals.
 </li>
 <li>
 Identify and develop high-impact use cases across functions (Ops, Marketing, Finance).
 </li>
 <li>
 Drive agile, iterative development and ensure timely, high-quality execution.
 </li>
 </ul>
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 
 
 <ul>
 <li>
 8+ years of experience in data science, with 2+ years in a leadership role.
 </li>
 <li>
 Proven track record of delivering end-to-end AI/ML solutions.
 </li>
 <li>
 Strong stakeholder management and communication skills.
 </li>
 <li>
 Experience in fintech or start-up environments preferred.
 </li>
 <li>
 Proficiency in Python, SQL, and modern ML frameworks.
 </li>
 <li>
 Wholesome data science experience (LLM&rsquo;s, AI automation, GenAI, advanced analytics)
 </li>
 <li>
 Quantitative finance implementation (desired)
 </li>
 </ul>
</div>

Lead Data Scientist

Dubai Integrated Economic Zones Authority

<div>
 
 The purpose of this role is to works on new ways of capturing and analysing data to be used by the analysts; research and devise innovative statistical models for data analysis. Along with developing models, using machine learning, or incorporating advanced programming to find and analyse data.
 
 
 
 
 
 
 Tasks &amp; Responsibilities
 
 
 
 &bull; Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
 
 
 &bull; Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
 
 
 &bull; Participate in exciting projects covering the end-to-end Data Science lifecycle &ndash; from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.
 
 
 &bull; Strong expertise in developing explainable ML algorithms (e.g., regression, classification, clustering) and staying current with AI trends and advancements.
 
 
 &bull; End-to-end project ownership: From translating business needs into technical solutions, to building data/ML pipelines, deploying models, and implementing MLOps.
 
 
 &bull; Partner with stakeholders to ensure solutions meet requirements and translate technical values in business terminology.
 
 
 &bull; Skilled in building data stories from insights and using data mining techniques to generate insights.
 
 
 &bull; Review and validate models developed by team members and external party before production release.
 
 
 &bull; Develop company A/B testing framework and test model quality.
 
 
 &bull; Experience with cloud and big data architecture.
 
 
 &bull; Perform data exploration to find patterns in the data and understand the state and quality of the data available.
 
 
 &bull; Utilize Python code for analysing data and building statistical models to solve specific business problems.
 
 
 &bull; Evaluate ML models and fine tune model parameters considering the business problem behind.
 
 
 &bull; Deploy ML models into production that work as standalone data services.
 
 
 &bull; Build customer-facing reporting tools to provide insights and metrics which track system performance.
 
 
 &bull; Stay up to date about developments in Data Science and relevant fields to ensure that outputs are always relevant.
 
 
 
 
 
 
 
 <ul>
 <li>
 3+ years&rsquo; experience in implemented machine learning algorithms and Deep learning algorithms
 </li>
 <li>
 Excellent in statistical modeling, predictive modelling and inferential statics
 </li>
 <li>
 Sound knowledge of Python&rsquo;s ML stack
 </li>
 <li>
 Arabic language desired (working knowledge)
 </li>
 <li>
 English required (advanced)
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
 </li>
 <li>
 Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
 </li>
 <li>
 Planning, organizing, and analytical skills
 </li>
 </ul>
 
 
</div>

Junior - Data Scientist

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Junior - Data Scientist