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data scientist

nSearch Global

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 
 Purpose:
 
 
 
 Builds predictive and prescriptive models using structured and unstructured data to uncover insights and support data-driven decision-making
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Collect, preprocess, and analyze large volumes of data
 </li>
 <li>
 Develop statistical and machine learning models to solve business problems
 </li>
 <li>
 Communicate findings using visualizations and data storytelling; Collaborate with business units to translate insights into actions
 </li>
 <li>
 Validate and monitor model performance over time
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Degree in Computing, Engineering, Computer Science, Machine Learning or AI with 5 years experience in Data Sciences
 </li>
 <li>
 Strong proficiency in Python, R, SQL, and machine learning libraries
 </li>
 <li>
 Knowledge of time-series, classification, regression, and clustering methods
 </li>
 <li>
 Ability to structure ambiguous problems and apply data rigorously; Familiarity with experimentation and causal inference
 </li>
 <li>
 Business acumen and curiosity; Effective communication of technical insights to non-technical audiences
 </li>
 </ul>
</div>

Data Scientist

Glow Beauty On Demand

Job Title Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Job Description Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE Role Summary MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services. Employment Overview Job Location: Dubai, UAE Industry: Insurance Function: Data Science / Analytics Salary: 25000-32000 monthly (Market estimated) Gender: Any Candidate Nationality: Any Job Type: Full-time (Hybrid) What You ll Do * Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives * Build and deploy data pipelines, backend models, and scalable analytics solutions * Collaborate with stakeholders to align data projects with strategic objectives * Develop visually impactful dashboards and reports using Power BI * Perform data mining, feature engineering, and statistical analysis for actionable insights * Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization * Mentor and coach team members to enhance analytics and AI capabilities * Drive continuous innovation through experimentation with emerging technologies * Ensure data governance, model validation, and compliance with organizational standards Ideal Profile * Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field * 3+ years of experience in machine learning, deep learning, and predictive analytics * Strong programming skills in Python or R and experience building data pipelines * Expertise in NLP, hypothesis testing, and conceptual modeling * Proficiency in Power BI and knowledge of Alteryx or similar visualization tools * Familiarity with Microsoft Azure or cloud-based environments * Strong storytelling and data visualization skills for non-technical audiences * Business acumen with ability to translate insights into impactful business strategies Why Join Us MetLife offers an inclusive, purpose-driven work culture recognized globally for excellence. Enjoy competitive compensation, hybrid work flexibility, and career growth opportunities in an organization committed to innovation, customer experience, and sustainable business practices.

the ENTERTAINER

<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 "experience is everything," and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.&nbsp;
 
 
 
 
 
 
 
 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.&nbsp;
 
 
 
 
 
 </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>
</div>

Capgemini Engineering

<div>Your Role</div><div> </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.</div><div> </div><div>Key responsibilities of this role:</div><div>Collect, clean, and preprocess structured and unstructured data from various sources.</div><div>Develop and implement statistical models, machine learning algorithms, and data mining techniques.</div><div>Perform exploratory data analysis to identify trends, patterns, and anomalies.</div><div>Translate business problems into analytical solutions and communicate findings effectively.</div><div>Collaborate with cross-functional teams to integrate data science solutions into business processes.</div><div>Create visualizations and dashboards to present insights to stakeholders.</div><div>Continuously monitor model performance and update models as needed.</div><div>Document methodologies, experiments, and results for reproducibility and knowledge sharing.</div><div> </div><div>Your Profile</div><div> </div><div>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.</div><div>2-5 years of experience in data science or advanced analytics, preferably in a manufacturing context.</div><div>Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).</div><div>Experience with data visualization tools such as Power BI, Tableau, or matplotlib.</div><div>Strong understanding of statistical analysis, predictive modeling, and data wrangling.</div><div>Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.</div><div>Excellent problem-solving and communication skills.</div><div>Experience with Agile/Scrum methodologies is a plus.</div><div> </div><div>What You'll Love About Working Here</div><div> </div><div>Flexible Work Arrangements-Work remotely or adjust work hours for a balanced lifestyle.</div><div> </div><div>Career Growth Opportunities-Access diverse roles and career development programs.</div><div> </div><div>Training &amp; Certifications-Equip yourself with valuable certifications in emerging technologies.</div><div> </div>

Mint Specialist Recruitment Ltd

<div>
 
 We are actively looking to hire a Data Scientist for a global, industry-leading Technology &amp; Strategy Consulting Firm to join their office in Dubai. The ideal candidate is highly analytical, technically skilled, and capable of turning complex data into simple, clear recommendations that drive measurable impact across product, marketing, and strategy functions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with stakeholders across departments to identify opportunities for leveraging data to drive strategic decisions.
 </li>
 <li>
 Mine and analyse data from internal and client databases to improve product development, marketing effectiveness, and business strategy.
 </li>
 <li>
 Assess and validate the effectiveness of new data sources and data gathering techniques.
 </li>
 <li>
 Develop and deploy custom data models and algorithms tailored to company datasets.
 </li>
 <li>
 Use predictive modeling to optimize customer experience, revenue growth, and campaign targeting.
 </li>
 <li>
 Design and implement A/B testing frameworks and evaluate model performance.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate analytical models into operational systems.
 </li>
 <li>
 Build processes and tools to monitor, visualize, and ensure the accuracy of data and model outputs.
 </li>
 </ul>
 
 
 
 
 
 Typical Skills and Background
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Advanced knowledge of statistical and data mining techniques (e.g., regression, decision trees, clustering, neural networks).
 </li>
 <li>
 Proficiency in one or more programming languages such as
 
 Python, C++, or Java
 
 .
 </li>
 <li>
 Strong problem-solving and quantitative skills able to dissect complex issues and identify root causes.
 </li>
 <li>
 Excellent communication skills, capable of explaining technical content clearly to non-technical stakeholders.
 </li>
 <li>
 Strong leadership and collaboration abilities proven track record of building relationships and influencing outcomes.
 </li>
 <li>
 Intellectually curious, results-driven, and comfortable working in fast-paced environments.
 </li>
 </ul>
 
 
 
 
 
 Experience &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics).
 </li>
 <li>
 Master&rsquo;s or Ph.D. degree preferred.
 </li>
 <li>
 3&ndash;5 years of hands-on experience in
 
 mathematical modeling, machine learning, or advanced analytics
 
 .
 </li>
 <li>
 Proven experience handling large datasets and relational databases (e.g., SQL).
 </li>
 <li>
 Prior consulting or cross-functional project experience is a strong advantage.
 </li>
 </ul>
 
 
</div>

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always &lsquo;Fly Better.&rsquo; As one of the most recognised and admired brands globally, we&rsquo;re driven by innovation and excellence.
Join us as a Data Scientist and play a pivotal role in shaping the future of our organisation by driving people strategies that empower our global workforce. Experience a fast-paced, multicultural environment where your expertise in human resources will contribute to building a world-class employee experience while advancing your own career on a global stage.
In this role, you will:
<ul><li>Deliver analytics projects using appropriate statistical and machine learning techniques to generate key insights and actionable recommendations for stakeholders.
 
</li><li>Develop core components of data science projects including data analysis, visualization, tool and model development, and documentation
 
</li><li>Analyse business metrics and KPIs to identify trends, detect issues, and highlight opportunities for optimization.
 
</li><li>Address day-to-day technical challenges to ensure high-quality project deliverables.
 
</li><li>Derive business insights from large, structured, semi-structured, and unstructured datasets, and collaborate with stakeholders to deploy these insights for commercial value.
 
</li><li>Collaborate with cross-functional teams, integrating computer science and mathematical approaches to embed actionable insights into business processes at key impact points.
 
</li><li>Work in agile iterations, leveraging suitable algorithms and techniques to tackle complex analytical problems and enhance analytics tools for A/B testing, segmentation, funnel analysis, and other analytical needs.
 
</li><li>Support sprint and project planning by bridging research and analytics, delivering data-driven solutions across required business areas.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
Master's degree and 5+ years&rsquo; experience in
 Data Science ecosystem, Advanced AI &amp; Machine Learning 
<ul><li>
 
</li><li>Hands-on experience in the Data Science ecosystem.
 
</li><li>Proficient in big data technologies such as Spark and the Hadoop ecosystem.
 
</li><li>Experienced with deep learning frameworks including TensorFlow and Keras.
 
</li><li>Strong programming skills in SQL, R, and Python.
 
</li><li>Practical experience with DevOps frameworks such as Git, CI/CD, and Docker.
 
</li><li>Skilled in building reusable libraries and packages for wider use.
 
</li><li>Proven experience in developing Data Science solutions for production environments.
 
</li><li>Experienced in delivering advanced analytical projects within large, complex, and multifunctional organizations.
 
</li>Capable of reviewing and challenging the quality, accuracy, and business value of analytical outputs. 
<li>
</li></ul> 
You&rsquo;ll have an edge if you are:
A collaborative team player with a proactive, problem-solving mindset 
<ul><li>
</li></ul> 
At Emirates Group, we&rsquo;re committed to providing our employees with opportunities to grow and develop in their careers. So if you&rsquo;re looking for a challenging and rewarding opportunity, apply today and join our team! 
 
Recruitment Process and Timeline:
Emirates Group, is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a HireVue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group. 
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.
You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers . Further information on what it&rsquo;s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</div>

Accord Business Group

<div>
 Working from home country 
 Essential Duties &amp; Key Responsibilities 
<ul>
<li>Gathering business requirement and converting to technical design</li>
<li>Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability</li>
<li>Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world</li>
<li>Verifying data quality, and/or ensuring it via data cleaning</li>
<li>Supervising the data acquisition process if more data is needed</li>
<li>Finding available datasets online that could be used for training Defining validation strategies</li>
<li>Defining the pre-processing or feature engineering to be done on a given dataset</li>
<li>Defining data augmentation pipelines</li>
<li>Training models and tuning their hyperparameters</li>
<li>Analyzing the errors of the model and designing strategies to overcome them</li>
<li>Coding and Deploying models to production</li>
<li>Testing the performance of the models</li>
<li>Working with integration team and source systems team for seamless integration of data from source system.</li>
<li>Perform ETL data flow, source-target data mapping and creation of Data Mart, Data Model and staging area for data loading.</li>
</ul>
</div>
 Job Specifications 
<ul>
<li>Bachelor s Degree in computer Science , IS, MIS, Statistics or related field or in business.</li>
<li>Fresh graduate or 1 year hands on experience</li>
<li>Ability to understand/translate customer business needs into data requirements and analytical techniques</li>
<li>Support data acquisition, validation, cleaning/preparation, and management from incoming data sources to facilitate analysis. Fluency in SQL is required.</li>
<li>Covering the areas of full Analytics life cycle, from data preparation to advanced analytics predictive modelling, AI and dynamic dashboards for data visualization and ML-Ops</li>
<li>Have excellent English oral and written skills</li>
</ul>

<div>
 apply now.</div>

Data scientist

Explore 4184+ Data scientist in Training Jobs In Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

4184 data scientist jobs IN Training Jobs In Dubai United Arab Emirates

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