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Senior Data Scientist ( Mobile

Job in Welwyn Garden City, Hertfordshire, AL8, England, UK
Listing for: Tesco
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Scientist (Tesco Mobile)

Tesco UK
• Slough or Welwyn Garden City
• Permanent
• Apply by 30-Jul-2026

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.

Responsibilities
  • 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 decision‑making 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.
Qualifications
  • 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 PySpark, 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.
Preferred Qualifications
  • 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.
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; we also offer 6 weeks fully paid paternity leave.
  • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, and free access to a range of experts to support your mental wellbeing.

We are committed to creating a workplace where differences are valued and all colleagues are given the same opportunities. We are proud to have been accredited Disability Confident Leader and are committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please see our accessibility page.

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Position Requirements
10+ Years work experience
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