Tesco UK Welwyn Garden City Hybrid Full-Time Apply by 24-Oct-2025
About the role
Within Tesco Data & Analytics, we find ways to use data to help our customers and the communities where we operate. We build and run Tesco’s data platforms, architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale.
As a backend engineer within Data Science you have the vital role of integrating our capabilities into Tesco's systems which is critical to creating value. You will bring your experience of implementing scalable backend systems to our teams while having the opportunity to work in the exciting ML and AI space.
Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments.
What is in it for you
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!
- 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 (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 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
You will be responsible for
As a backend engineer within Data Science you have the vital role of integrating our capabilities into Tesco's systems which is critical to creating value. You will bring your experience of implementing scalable backend systems to our teams while having the opportunity to work in the exciting ML and AI space. You’ll collaborate with engineers, data scientists, product managers, and analytics professionals to deliver innovative outcomes for our customers.
You’ll work within and across our Engineering and Data Science teams, delivering production-grade software that improves how we serve our customers and run our operations.
Responsibilities
• Design and implement backend services and APIs using Python and FastAPI.
• Participate in system architecture and design discussions, with a focus on scalability and performance.
• Translate product and data science requirements into robust technical solutions.
• Collaborate across teams to integrate machine learning models into production systems.
• Write clean, maintainable, and well-tested code.
• Conduct code reviews and provide constructive feedback to peers.
• Monitor and support production systems, resolving incidents and performing root cause analysis.
• Continuously improve development practices, tooling, and processes.
• Share knowledge and mentor others within the engineering community.
• Apply SDLC best practices to ensure reliable and maintainable software delivery.
You will need
You come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data driven solutions into production. You therefore tick the majority of the following points:
Key Requirements
• Strong proficiency in Python, with a focus on backend development.
• Hands-on experience with FastAPI (or similar frameworks like Flask or Django).
• Experience designing and building RESTful APIs and microservices.
• Awareness of concepts related to MLOps integrating ML models into production systems.
• Understanding of software engineering principles, data structures, and algorithms.
• Experience with version control (Git) and CI/CD pipelines.
• Exposure to observability tools (e.g., New Relic, Grafana, Prometheus, Splunk).
• Experience working in cloud environments, ideally Azure.
• Comfortable working in Agile environments (Scrum, Kanban).
• Ability to collaborate effectively with cross-functional teams.
• Bonus: Experience with big data technologies (e.g., Apache Spark), and a background in retail, logistics, or ecommerce.
About us
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.