Data Scientist – London, United Kingdom of Great Britain and Northern Ireland

Overview

As a Data Scientist at Tesco, you will build and deploy ML and generative AI solutions that shape how we serve customers and operate the business. You’ll design robust models, test new approaches, and translate business problems into data-driven solutions, scaling successful prototypes into production. You’ll work with ML Engineers and Software Engineers to ensure performance and maintainability, and you’ll share knowledge with both internal teams and the external data science community. Staying up to date with GenAI and LLMs will be essential to evolve our data products. You join a collaborative, learning-focused team rotating across domains to broaden impact.

Pay / Benefits

• Annual bonus up to 20% of base salary
• Holiday starting at 25 days plus a personal day
• Private medical insurance
• 26 weeks maternity/adoption leave + 6 weeks fully paid paternity leave
• Free 24/7 virtual GP service
• Employee Assistance Programme (EAP)

Responsibilities

• Design, implement, and deploy ML and generative AI solutions to solve business problems
• Prototype and evaluate models, assess statistical and business impact, scale to production
• Collaborate with ML Engineers and Software Engineers to ensure efficient, maintainable solutions that meet standards
• Communicate complex ideas to non-technical stakeholders and contribute to internal knowledge sharing
• Stay current with GenAI and LLM developments and integrate new techniques into data products

Key requirements

• Strong foundation in ML, statistics, and programming
• Experience with Python and large-scale data in distributed computing environments
• Hands-on experience with generative AI, LLMs, and deep learning frameworks
• Ability to translate business problems into data science solutions and communicate findings
• Scientific mindset, critical thinking, proactive learning and collaboration
• Higher degree in a quantitative discipline preferred, or equivalent commercial experience
• Strong coding practices including version control and testing

• clear communication to both technical and non-technical audiences
• curiosity and drive
• proactive learning and knowledge sharing
• Python
• distributed computing
• generative AI

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