Join to apply for the Data Scientist role at Tesco Technology.

About the role

At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, generative AI, and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact.

We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge‑sharing events and a collaborative, inclusive environment that values work‑life balance and professional growth.

Responsibilities

• Develop and deploy machine learning and generative AI solutions that directly impact how we serve our customers and run our business.
• Design and implement robust models, experiment with new approaches, and translate business problems into data science solutions.
• Build prototypes, evaluate model performance statistically and in terms of business impact, and scale models into production.
• Collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable and aligned with Tesco’s technology standards.
• Communicate complex ideas clearly to non‑technical stakeholders, contribute to internal knowledge sharing and represent Tesco in the external data science community.
• Stay current with developments in GenAI and LLMs, evaluate and integrate emerging techniques into our data products.

Requirements

• Strong foundation in machine learning, statistics and programming.
• Experience designing and implementing models using Python and working with large‑scale data in distributed computing environments.
• Hands‑on experience with generative AI, LLMs and deep learning frameworks is valued.
• Ability to translate business problems into data science solutions and communicate findings clearly to technical and non‑technical audiences.
• Scientific mindset, critical thinking and the ability to ask the right questions.
• Proactive in learning new methods, staying up to date with the latest developments and contributing to a culture of knowledge sharing and collaboration.
• Higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, Physics) preferred, though equivalent commercial experience is valued.
• Strong coding practices, including version control and testing.

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 (after 1 year’s service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; plus 4 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

About Us

Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, the communities we are part of and the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. We celebrate diversity and recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued and all colleagues are given the same opportunities. We are accredited Disability Confident Leader and are committed to providing a fully inclusive and accessible recruitment process.

We offer a range of diverse full‑time and part‑time working patterns across our many business areas, combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.

Seniority level

Entry level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Retail