advanced analytics specialist

Odeabank

<div>
 
 
 Advanced Analytics and Data Science - Senior Specialist
 
 
 
 
 
 
 We&rsquo;re Hiring: Advanced Analytics and Data Science Team
 
 
 Are you ready to bring your data science expertise into a fast-paced, agile, and impact-driven environment? We&rsquo;re looking for a Senior Data Scientist to join our growing Advanced Analytics and Data Science (CoE) team &mdash;where you&rsquo;ll work on end-to-end data science projects that directly shape the future of our business.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 As part of the CoE, you'll collaborate across diverse domains including finance, marketing, operations, credit risk, and AI applications. Our projects are fast-moving and solution-oriented, often launched from scratch and built into production in weeks. You'll have the chance to work with top-tier talent, develop scalable solutions, and present your work to senior leadership &mdash; driving real business impact at every step.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 
 
 
 <ul>
 <li>
 Lead and contribute to end-to-end data science projects: from business understanding to model deployment
 </li>
 <li>
 Design, prototype, and implement machine learning and AI solutions using Python
 </li>
 <li>
 Collaborate with cross-functional teams in finance, marketing, risk, and operations to deliver actionable insights
 </li>
 <li>
 Translate business problems into data science opportunities
 </li>
 <li>
 Ensure high code quality through version control (Git), code reviews, and adherence to software development best practices
 </li>
 <li>
 Query and manipulate data using SQL and manage workflows using bash and automation tools
 </li>
 <li>
 Contribute to CI/CD pipelines for ML/AI deployment
 </li>
 <li>
 Communicate findings effectively to technical and non-technical stakeholders, including senior leadership
 </li>
 <li>
 Stay up-to-date with the latest developments in AI, ML, and data science tools
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a STEM field, Economics, or Finance
 </li>
 <li>
 3+ years of relevant experience in data science, advanced analytics, or applied ML
 </li>
 <li>
 Expertise in Python and common data science libraries (pandas, scikit-learn, etc.)
 </li>
 <li>
 Strong knowledge of relational databases and fluency in SQL
 </li>
 <li>
 Hands-on experience with ML and AI algorithms
 </li>
 <li>
 Exposure to bash scripting and workflow automation
 </li>
 <li>
 Experience working in agile teams
 </li>
 <li>
 Familiarity with Git and collaboration tools
 </li>
 <li>
 Strong understanding of software development best practices
 </li>
 <li>
 Exposure to CI/CD practices for data science or ML pipelines
 </li>
 <li>
 Excellent communication and problem-solving skills
 </li>
 </ul>
 
 
 
 
 Ready to take the next step in your data science journey? Apply now and be part of a collaborative, high-impact team where your work matters from day one.
 
 
 
</div>

Advanced Analytics and Data Science - Senior Specialist

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.

Data Scientist

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 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

Data Scientist - Advanced Analytics & AI Solutions Dubai UAE

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 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

Data Scientist - Advanced Analytics & AI Solutions

Circle K

<div>Job Description
Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data &amp; Analytics team is an integral part of ACT&rsquo;s Global Data &amp; Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT.
The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units.
About the role
The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.
Roles &amp; Responsibilities
Analytics &amp; Strategy<ul><li>
Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business</li><li>
Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data</li><li>
Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions</li><li>
Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data</li></ul>
Operational Excellence<ul><li>
Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project</li><li>
Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems</li><li>
Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses.</li></ul>
Stakeholder Engagement<ul><li>
Working collaboratively across multiple sets of stakeholders &ndash; Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables</li><li>
Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats</li></ul>
Job Requirements
Education<ul><li>
Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)</li><li>
Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)</li></ul>
Relevant Experience<ul><li>
3 - 4 years for Data Scientist</li><li>
Relevant working experience in a data science/advanced analytics role</li></ul>
Behavioural Skills<ul><li>
Delivery Excellence</li><li>
Business disposition</li><li>
Social intelligence</li><li>
Innovation and agility</li></ul>
Knowledge<div><ul><li>
Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)</li><li>
Statistical modelling using Analytical tools (R, Python, KNIME, etc.)</li><li>
Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)</li><li>
Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.</li><li>
Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)</li><li>
Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)</li><li>
Big data technologies &amp; framework (AWS, Azure, GCP, Hadoop, Spark, etc.)</li><li>
Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
</li><li>Business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)</li><li>
Microsoft Office applications (MS Excel, etc.)</li></ul>
#LI-DS1</div></div>

Data Scientist - REFM

<div>
 
 Job Description
 
 
 
 Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data &amp; Analytics team is an integral part of ACT&rsquo;s Global Data &amp; Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT.
 
 
 The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units.
 
 
 
 About The Role
 
 
 
 The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 
 
 Analytics &amp; Strategy
 
 
 
 
 <ul>
 <li>
 Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business
 </li>
 <li>
 Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data
 </li>
 <li>
 Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
 </li>
 <li>
 Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data
 
 
 </li>
 </ul>
 
 
 Operational Excellence
 
 
 
 
 <ul>
 <li>
 Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
 </li>
 <li>
 Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems
 </li>
 <li>
 Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses.
 
 
 </li>
 </ul>
 
 
 Stakeholder Engagement
 
 
 
 
 <ul>
 <li>
 Working collaboratively across multiple sets of stakeholders &ndash; Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
 </li>
 <li>
 Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
 
 
 </li>
 </ul>
 
 
 Job Requirements
 
 
 
 
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
 </li>
 <li>
 Master&rsquo;s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
 
 
 </li>
 </ul>
 
 
 Relevant Experience
 
 
 
 
 <ul>
 <li>
 3 - 4 years for Data Scientist
 </li>
 <li>
 Relevant working experience in a data science/advanced analytics role
 
 
 </li>
 </ul>
 
 
 Behavioural Skills
 
 
 
 
 <ul>
 <li>
 Delivery Excellence
 </li>
 <li>
 Business disposition
 </li>
 <li>
 Social intelligence
 </li>
 <li>
 Innovation and agility
 
 
 </li>
 </ul>
 
 
 Knowledge
 
 
 
 
 <ul>
 <li>
 Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)
 </li>
 <li>
 Statistical modelling using Analytical tools (R, Python, KNIME, etc.)
 </li>
 <li>
 Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)
 </li>
 <li>
 Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.
 </li>
 <li>
 Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)
 </li>
 <li>
 Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)
 </li>
 <li>
 Big data technologies &amp; framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
 </li>
 <li>
 Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
 </li>
 <li>
 Business intelligence &amp; reporting (Power BI, Tableau, Alteryx, etc.)
 </li>
 <li>
 Microsoft Office applications (MS Excel, etc.)
 
 
 </li>
 </ul>
</div>

NielsenIQ

<div>
 
 Job Description
 
 
 
 
 Position Overview
 
 
 
 As a Senior Data Scientist in the Ecommerce Methods team, you&rsquo;ll develop and implement data-driven solutions to enhance ecommerce measurement and performance. You&rsquo;ll design forecasting models, collaborate with cross-functional partners, and ensure the quality and impact of analytics. This role involves solving real-world retail challenges and communicating insights to both technical and non-technical audiences.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Methodological Development: Collaborate in the design, prototyping, and refinement of data science methodologies to measure online retail performance
 </li>
 <li>
 Advanced Analytics: Develop, test, and validate statistical and machine learning models addressing revenue forecasting, outlier detection, missing data imputation, and data synthesis
 </li>
 <li>
 Quality Assurance: Contribute to validation efforts, code reviews, and documentation, promoting reliability and reproducibility in our analytics
 </li>
 <li>
 Knowledge Sharing: Present findings internally, contribute to technical documentation, and stay abreast of advancements in ecommerce analytics
 </li>
 <li>
 Collaboration &amp; Support: Partner with colleagues across teams to understand business needs and support the deployment of analytical solutions. Mentor junior team members and contribute to a collaborative team environment
 </li>
 <li>
 Continuous Learning: Keep up-to-date with the latest trends, tools, and best practices in data science, machine learning, and ecommerce analytics
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
 </li>
 <li>
 Experience: 3+ years of hands-on data science or advanced analytics experience, preferably in ecommerce, retail analytics, or digital marketing
 </li>
 <li>
 High proficiency in Python, with experience in statistical modeling, machine learning, data wrangling, and visualization
 </li>
 <li>
 Solid understanding of statistical inference, time series analysis, and machine learning algorithms
 </li>
 <li>
 Experience with version control (Git) and containerization (Docker) is a plus
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Our Benefits
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 
 
 </li>
 </ul>
 
 About NIQ
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
</div>

Senior Data Scientist

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