Overview
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
As a Data Scientist at Tesco, you will develop and deploy machine learning and generative AI solutions that directly impact how we serve our customers and run our business. You will design and implement robust models, experiment with new approaches, and translate business problems into data science solutions. This includes building prototypes, evaluating model performance both statistically and in terms of business impact, and scaling models into production. You will collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable, and aligned with Tesco’s technology standards.
You will also play a key role in communicating complex ideas clearly to non-technical stakeholders, contributing to internal knowledge sharing and representing Tesco in the external data science community. Staying current with developments in GenAI and LLMs will be essential, as you will help evaluate and integrate emerging techniques into our data products.
Qualifications
A curious and driven individual is sought, with a strong foundation in machine learning, statistics, and programming. Comfort in designing and implementing models using Python, as well as working with large‑scale data in distributed computing environments, is essential. Hands‑on experience with generative AI, large language models, and deep learning frameworks is considered advantageous. The role involves translating business problems into data science solutions and communicating findings clearly to both technical and non‑technical audiences.
A scientific mindset, critical thinking, and the ability to ask insightful questions are key. Proactivity in learning new methods, staying current with industry developments, and contributing to a culture of knowledge sharing and collaboration are highly valued. A higher degree in a quantitative discipline—such as Mathematics, Computer Science, Engineering, or Physics—is preferred, although equivalent commercial experience will also be considered. Strong coding practices, including version control and testing, are expected.
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, free access to a range of experts to support your mental wellbeing.
* This information is a shortened summary; refer to our policies for full details.
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