Job Description About your tasks: Contribute to the development of our retail media product by applying data science and machine learning to build relevant, effective, and scalable solutions that create value for customers, advertisers, and the business. Work on end-to-end Data Science and Machine Learning initiatives, partnering closely with Product Managers, Engineers, and domain experts to translate business challenges into data-driven solutions. Own projects across the full lifecycle, from problem definition and experimentation through to production deployment, monitoring, and continuous improvement using complex real-world datasets. Design, evaluate, and improve machine learning models and experiments, making thoughtful trade-offs between performance, scalability, maintainability, and business impact. Contribute to data science best practices and knowledge sharing, acting as a technical sparring partner within the Data & AI team. About the tech stack: Databricks, Spark, Azure, Python, SQL, Machine Learning, MLOps, Experimentation & Analytics Frameworks, Git, CI/CD.