We’re have an phenomenal opportunity 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. An exciting opportunity to directly shape how we make decisions across the business, whilst keeping our customers at the heart of what you do.
We offer flexible and hybrid working here at Tesco Mobile and for this role you can choose to be based out of either our Welwyn Garden City or Slough office (accessible from London via the Elizabeth Line). The role will be 2 days a week in the office and the rest of the time working from home.
You’ll also attend regular chapter meetings, typically these are held every two weeks and are normally held in Slough or London. We’re committed to flexibility and welcome conversations about full‑time, part‑time and job share working.
Responsibilities
- 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.
Experience Required
- Previous experience working as Data Scientist, with experience of working with customer data, with an understanding of sales and customer behaviour.
- Churn, fraud or propensity modelling experience.
- Strong stakeholder management skills having 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.
- Previously delivered end‑to‑end machine learning solutions independently – from building models from scratch in Python combined with an understanding of the inner workings of the models.
- Experience deploying fully in‑house production workflows.
- 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.
- Strong programming skills ideally in SQL, Python and PySpark, with a solid understanding of good coding practices such as object‑oriented programming.
- A strong numerical higher degree is preferable (ideally a Masters or PhD), as well as a solid understanding of mathematics and statistical principles.
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