Overview
Tesco Mobile is looking for a Data Scientist to work directly with analytics to inform business decisions and improve customer experiences. The role covers personalised communications, marketing effectiveness, customer lifetime value, churn reduction, and smarter stock and demand decisions.
Key Responsibilities
* Build, validate and optimise machine learning models and manage basic models and data pipelines.
* Contribute across the data science lifecycle, including documentation and security best practices.
* Use statistical analysis to generate insights, improve customer experience and drive business improvements.
* Collaborate with your team to solve problems and share knowledge.
* Continuously identify ways to improve your work and develop your skills.
* Work collaboratively within our data science team and project group to achieve the best possible outcome.
Key Skills & Experience
* Experience with Python, SQL, scikit-learn, and basic PySpark knowledge.
* Understanding of database systems and data handling.
* Familiarity with full machine learning lifecycles; deployment experience is a bonus.
* Strong coding practices, including testing and optimisation.
* Ability to turn ambiguous questions into structured, solvable problems (with support).
* Confident communicator, able to explain ideas clearly to non‑technical audiences.
* Strong listening skills and a collaborative mindset.
* PhD, Master's or Bachelor's degree within a Data Science field or similar.
Personal Qualities & Desired Traits
* Takes initiative in learning and development.
* Enjoys giving and receiving constructive feedback.
* Curious about improving models, processes and outcomes.
* Eager to learn, enjoys working with others, and can turn data into clear, meaningful stories.
Location & Travel
The role can be based in Welwyn Garden City, Slough or London, with occasional travel to other sites.
Compensation & Benefits
* Annual bonus scheme of up to 20% of base salary.
* Holiday starting at 25 days plus a personal day (plus bank holidays).
* Private medical insurance.
* 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay.
* 6 weeks fully paid paternity leave.
* Free 24/7 virtual GP service and Employee Assistance Programme.
Work Environment
Hybrid working: time spent both in the office and at home. Fortnightly in‑person team meetings (usually in Slough or London).
Equal Opportunities
We are an equal opportunities employer and encourage all candidates to apply.
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