Data Scientist

At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning.

With one of the richest retail datasets in the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.

As a Data Scientist and member of our Data Science team, you will play a pivotal role in developing in-house data science solutions that automate decision‑making and provide valuable insights across our business. Working in cross‑functional agile squads, you will contribute to the design and development of our data science products. You will deliver high‑quality analyses that guide future development work and contribute to the team's continuous learning and upskilling efforts.

• Wide impact. Deploying models here means improving the experience of millions of customers each day.
• Range of projects. Our projects vary from supply chain optimisation for one of the largest logistics networks in the country, predicting which substitution products online shoppers prefer, to helping our instore colleagues keep shelves full.
• Focus on data science work. Access to extensive, clean, and well‑documented data in our industry‑leading platform: spend your time building data science solutions, not cleaning datasets.
• Time for growth. 10% of time set aside for learning & personal development.
• Learning and mentoring. With a team of 50 data scientists, engineers and product managers, there are lots of opportunities to learn from colleagues through knowledge shares, pair programming, and communities of practice.
• Flexible working. Our team prioritises hybrid working, both at home and in our central London Farringdon office.
• Save on groceries. 10% discount on products across Sainsbury’s (up to 15% for two days each week).

• Educated to degree level, preferably within a mathematical, statistical or STEM discipline.
• A solid track record of individually contributing to value‑driving data science projects in a commercial setting.
• Experience of writing production‑grade code using Python and SQL.
• Strong presentation skills and business acumen, regularly receiving positive feedback about the ability to explain complex topics to non‑technical audiences.
• Ability to work independently to achieve results using own guidance and initiative.
• Strong statistical foundation in concepts such as regression, hypothesis testing, experimental design.
• Experience getting the best out of scikit‑learn and tree‑based models.
• Highly proficient in Git best practices.
• Experience working in cloud environments (Azure, AWS, GCP).

• A relevant post‑graduate degree (Masters or PhD) within a mathematical, statistical or other STEM discipline.
• Experience building or maintaining machine learning pipelines and endpoints in Azure ML.
• Experience delivering value on ML projects in retail (price elasticity or differential pricing) or supply chain (demand forecasting, optimisation).
• Experience moving from unstructured business problems through to well‑defined data science solutions.
• Experience in mathematical optimisation and causal inference methods.
• Experience working with and deploying Graphical Neural Networks (GNNs) in industry.
• Experience with other complex models and frameworks.
• Experience working within a cross‑functional team.

We are committed to being a truly inclusive retailer…