About the role
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, computer vision, generative AI and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customerexperience, 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.
Key responsibilities
- Develop and deploy machine learning, computer vision and generative AI solutions that directly impact customers and business operations.
- Design and implement robust models, experiment with new approaches, and translate business problems into data‑science solutions.
- Build prototypes, evaluate model performance statistically and in terms of business impact, and scale models into production.
- Collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable and meet Tesco’s technology standards.
- Communicate complex ideas clearly to non‑technical stakeholders, contribute to internal knowledge sharing and represent Tesco in the external data‑science community.
- Stay current with developments in Generative AI and Computer Vision, evaluate and integrate emerging techniques into Tesco’s data products.
Qualifications
- Strong background in computer vision solutions; a mix of statistics and machine‑learning skills is welcome.
- Track record in modifying and designing advanced algorithms and applying them to large real‑world data sets.
- Experience in deep‑learning frameworks (TensorFlow, PyTorch).
- Experience with object‑detection models such as Faster‑RCNN, YOLO, EfficientDet and NVIDIA models.
- Familiarity with libraries and tools: OpenCV, scikit‑image, SciPy, Pandas, Docker, Git.
- Working knowledge of image processing and video technology.
- Higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, Physics) is preferred; equivalent commercial experience is also valued.
- Strong coding practices, including version control and testing.
- Ability to translate business problems into data‑science solutions and communicate findings to both technical and non‑technical audiences.
- Scientific mindset, critical thinking, proactive learning and a collaborative attitude.
Benefits
- 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; 6 weeks fully paid paternity leave.
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) and free access to experts to support mental wellbeing.
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