Data Scientist Tesco Mobile

Tesco
Welwyn Garden City
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science PhD internship (Operations Research)

Data Science PhD Internship

Data Scientist (Semantic Search/Recommender Systems)

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Faculty Fellowship Programme - Data Science - May 2026

Data Scientist

Tesco Mobile • Slough or Welwyn Garden City • Permanent • Apply by 30-Jan-2026

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.


What is in it for you

We’re all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more!



  • 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 (after 1 years' service) 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, free access to a range of experts to support your mental wellbeing

You will be responsible for

  • 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.

You will need

  • 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


About us

A 50‑50 joint venture between Tesco and VMO2 that was established back in 2003, Tesco Mobile has gone from strength to strength as we've launched into new services and markets. With more than 5 million customers, we're the largest mobile virtual network operator in the UK. We're proud to have an inclusive culture that's uniquely Tesco Mobile, with a strong sense of community, plus all the benefits of working for one of the shareholders.


We care for human connection and we keep our customers at the heart of everything we do, which is why we've embraced the Agile way of working. Agile is more than just a methodology - it's a liberating journey that puts customers and purpose first. It empowers us to self‑organise, collaborate, co‑create and rapidly inspect and adapt everything we do - allowing us to respond at pace to our customers' needs. It encourages variety of thought and enables us to thrive, both individually and collectively.


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 have been 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 click here.


We're a big business and we can offer a range of diverse full‑time & part‑time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.