Computer Vision Data Scientist

Employer: Tesco

Location: Welwyn Garden City, England, GB

Salary: Competitive salary

Job type: FULL_TIME

Posted: 2026-05-28T00:00:00Z

Sector: IT & Technology

Job Description

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. 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! The above information is a shortened summary, refer to our policies for full details You will be responsible for As a Data Scientist at Tesco, you will develop and deploy machine learning, computer vision and generative AI solutions that directly impact how we serve our customers and run our business. You will be responsible for designing and implementing robust models, experimenting with new approaches, and translating business problems into data science solutions. This includes building prototypes, evaluating model performance both statistically and in terms of business impact, and scaling models into production. You will collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable, and aligned with Tesco’s technology standards.
You will also play a key role in communicating complex ideas clearly to non-technical stakeholders, contributing to internal knowledge sharing and representing Tesco in the external data science community. Staying current with developments in GenAI and Computer Vision will be essential, as you will help to evaluate and integrate emerging techniques into our data products. You will need We are looking for a curious and driven individual with a strong background in computer vision solutions. A mix of statistics and machine learning skills are also welcome. A track record in modifying and designing advanced algorithms and applying them to large real-world data sets is fundamental.
You will translate business problems into data science solutions and communicate your findings clearly to both technical and non-technical audiences. A scientific mindset, critical thinking, and the ability to ask the right questions are essential. You will be proactive in learning new methods, staying up to date with the latest developments, and contributing to a culture of knowledge sharing and collaboration.
A higher degree in a quantitative discipline—such as Mathematics, Computer Science, Engineering, or Physics—is preferred, though equivalent experience in a commercial setting is also valued. Strongcoding practices, including version control and testing are expected.
You will also ideally have experience of the following:
 • Deep Learning frameworks: Tensorflow and/or PyTorch  • Object detection models, e.g. Faster-RCNN, YOLO, EfficientDet, Nvidia models  • Libraries and tools: OpenCV, scikit-image, SciPy, Pandas, Docker, Git  • Working knowledge of image processing, and video technology 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 rel

Apply on retailappointment.co.uk

Helpful guides: Getting Into IT and Technology: An Entry-Level Guide · 5 Things Tech Employers Actually Care About at Entry Level