At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work extends across multiple areas including physical stores, online, finance, and supply chain.

The Data Science team works across several domains and problem types: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise; knowledge-sharing events are held regularly. Furthermore, we offer a great work-life balance, regular team days and a relaxed yet engaging culture.

This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Senior Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support.

A core component of the role is applying, modifying, and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary focus will be forecasting and related statistical or probabilistic modelling, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment.

Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts.

Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community.

Finally, as a Senior Data Scientist, you will be expected to drive innovation and take ownership of aspects of project development, support the Lead Data Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns.

You should have a mix of statistics, programming skills and familiarity with time series analysis or broader forecasting problems. Experience of applying and adapting advanced algorithms is essential, and experience applying models to large data sets is highly valued. Some project and stakeholder management experience is preferred.

A scientific mindset, with the ability to ask the right questions as well as answer them, is important. A strong numerical higher degree in a mathematical, scientific, engineering, economics or computer science discipline is preferable, together with a solid understanding of mathematics and statistical principles.

We are looking for a background in forecasting or probabilistic/statistical modelling, along with experience blending data from different sources to explain historic behaviour and produce forward-looking predictions and scenarios.

We particularly value experience in modelling risk or volatility, econometrics, or other modelling approaches that support strategic, multi-year decision making.

Finally, strong programming skills are essential (Python is preferred), as well as familiarity with software engineering best practices (such as version control, unit testing and CI/CD) and big data and cloud technologies (PySpark preferred).

• 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.