Senior Data Scientist; Tesco Mobile

At Tesco Mobile, we’re passionate about connecting people—and data is at the heart of everything we do. We’re looking for a Senior Data Scientist to join our team and help shape smarter, more personalised experiences for our customers.

If you enjoy solving complex problems, building scalable models, and seeing your work drive real-world outcomes, this could be the perfect next step for you and we’d love to meet you.

This role can be based in Welwyn Garden City or our Slough office with occasional travel required.

Team collaboration is key—you’ll attend a fortnightly team meeting (typically in Slough or London). We embrace hybrid working, with a minimum of 2 days per week in the office
.

We’re looking for someone who is both technically strong and commercially minded, with the ability to translate data into impact.

In this hands‑on role, you’ll work on static and time‑series data (including propensity models and forecasting models), developing innovative models that enhance customer experiences and drive business performance. From personalised communications and marketing optimisation to customer lifetime value, churn reduction, and demand forecasting, your work will directly influence key decisions.

You won’t just build models—you’ll bring them to life
, owning the journey from concept to deployment and beyond.

• Own end-to-end delivery of data science solutions—from problem framing, feature engineering, monitoring, evaluation and deployment
• Design and execute hypothesis‑driven analysis and statistical testing (e.g., experiment design where applicable, assumption checking, uncertainty quantification) and translate results into clear business recommendations
• Build and product ionise propensity models to support targeting, next‑best‑action and other decisioning use cases
• Build and product ionise time‑series forecasting models for demand and stock perspectives; perform back‑testing and continuously improve forecast accuracy
• Partner with stakeholders to define success metrics and deliver meaningful outcomes
• Build, validate and optimise robust data pipelines and model code (testing, performance, reproducibility, documentation and security considerations)
• Contribute to team growth through knowledge sharing, mentoring, and best practice

• Demonstrated ability to solve ambiguous problems and deliver end‑to‑end analytical solutions
• Strong grounding in applied statistics (hypothesis testing, experiment design, uncertainty analysis)
• Proven experience with both static and time‑series modelling
• Advanced skills in Python, SQL, and Py Spark , with a focus on clean, testable, reproducible code
• Experience deploying models in cloud environments (Azure preferred), including CI/CD and monitoring
• Strong communication skills—able to simplify complex ideas for non‑technical audiences
• PhD or Masters Degree

• Experience with tools such as MLflow, PyTorch, Databricks, or graph databases
• A passion for continuous improvement and sharing knowledge
• A collaborative mindset with excellent stakeholder engagement skills

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to be accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process.

For further information on the accessibility support we can offer, please .