Data Scientist - Pricing

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.

As a Data Scientist at Tesco, you will develop and deploy machine learning solutions that directly impact how we optimise pricing decisions, serve our customers and run our business. You will be responsible for designing and implementing robust models, experimenting with new approaches, and translating business problems into data science solutions. This includes building prototypes, evaluating model performance both statistically and in terms of business impact, and scaling solutions 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 within the data science space will be essential, as you will help to evaluate and integrate emerging techniques into our data products.

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• A strong foundation in machine learning, statistics, and programming.
  
• Intellectual curiosity, critical thinking, the ability to ask the right questions, and a strong drive to apply a scientific mindset to achieve business impact.
  
• The ability to translate challenging business problems into data science solutions and communicate your findings clearly to both technical and non‑technical audiences.
  
• Extensive experience in designing and implementing models using Python and working with large‑scale data in distributed computing environments.
  
• In‑depth knowledge of strong coding practices, including version control and testing.
  
• Proactivity in learning new methods, staying up to date with the latest developments, and contributing to a culture of knowledge sharing and collaboration.
  
• A higher degree in a quantitative discipline—such as Mathematics, Computer Science, Engineering, or Physics—is preferred, though equivalent experience in a commercial setting is also valued.
  
• Hands‑on experience with advanced machine learning libraries, deep‑learning frameworks, generative AI and LLMs is a plus.
  

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, for the communities we are part of and for the planet.

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.

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