We’re looking for a curious and collaborative Data Scientist to join our Data Science Chapter at Tesco Mobile. This is a hands-on role where you’ll use data and analytical thinking to solve real business problems and improve customer experiences. You’ll work on a wide range of projects, from personalising customer communications and improving marketing effectiveness, to optimising stock management and reducing customer churn. Your work will directly shape how we make decisions across the business, always keeping our customers at the heart of what you do. You’ll be based in Welwyn Garden City, Slough, or other Tesco offices (including London), with occasional travel to other Tesco Mobile or supplier sites. You’ll also attend regular chapter meetings, typically held every two weeks in Slough or London. We’re committed to flexibility and welcome conversations about full-time, part-time and job share working Build, validate, optimise and manage data science models and data pipelines. Own key stages of the data science lifecycle, including deployment to production, testing, CI/CD, documentation and security. Analyse complex and diverse datasets using statistical methods to generate insights that improve customer experience and business outcomes. Continuously identify opportunities to improve products, processes and performance through innovative data-driven solutions. Develop a strong understanding of internal datasets and share knowledge openly with colleagues. Promote a positive and inclusive data science culture across the organisation. Work collaboratively within product delivery teams and squads to deliver impactful outcomes. Define resolution paths for challenges, contribute to project plans and support resource planning. Take ownership of your decisions and clearly communicate your approach and rationale. Intermediate experience in SQL, Python and PySpark, with a solid understanding of good coding practices such as object-oriented programming. Experience working with databases and combining multiple data sources for modelling and analysis. Experience in code optimisation and standard software development practices, including writing tests. The ability to translate ambiguous business questions into structured, hypothesis-driven analysis. Confidence explaining complex ideas in clear, non-technical language to a wide range of stakeholders. Strong listening and communication skills, with a customer-focused approach. The confidence to review and constructively challenge work in a positive, inclusive way. LI-AF2 LI-Hybrid