At a Glance
- Tasks: Develop and deploy cutting-edge machine learning and computer vision solutions at Tesco.
- Company: Join Tesco's innovative Data Science team, driving real impact across various business domains.
- Benefits: Enjoy a competitive salary, annual bonus, generous holiday, and private medical insurance.
- Other info: Collaborative culture with continuous learning opportunities and excellent career growth potential.
- Why this job: Make a difference by personalising customer experiences and optimising operations with advanced technology.
- Qualifications: Strong background in computer vision, statistics, and machine learning; coding skills are essential.
The predicted salary is between 50000 - 70000 £ per year.
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 customer experience, 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
- 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 year’s service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; we also offer 6 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 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. Strong coding 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
Computer Vision Data Scientist employer: hackajob
At Tesco, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation thrives. Our Data Science team enjoys a culture of continuous learning, with dedicated time for personal development and opportunities to rotate across various business domains, enhancing both expertise and impact. With competitive benefits including an annual bonus scheme, generous holiday allowance, and comprehensive health support, we ensure our employees are well-equipped to balance their professional and personal lives while contributing to meaningful projects that shape the future of retail.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tesco on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Data Science team. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really impress hiring managers and set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to explain complex ideas clearly to non-technical folks. Practice explaining your past projects in simple terms, focusing on the impact they had on the business.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Tesco team. Good luck!
We think you need these skills to ace Computer Vision Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Computer Vision Data Scientist role. Highlight your experience with machine learning, computer vision, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a great fit for Tesco. Don’t forget to mention your curiosity and drive, as we value those traits highly at StudySmarter.
Showcase Your Projects:If you've worked on any cool projects involving deep learning or computer vision, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills and innovative thinking.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you're keen to join our team!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you’re well-versed in the deep learning frameworks mentioned in the job description, like TensorFlow and PyTorch. Brush up on object detection models such as Faster-RCNN and YOLO, and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've translated complex business problems into data science solutions. Think about how you’ve designed and implemented models, and be ready to explain your thought process clearly to both technical and non-technical audiences.
✨Stay Current with Trends
Demonstrate your curiosity by discussing recent developments in generative AI and computer vision. Mention any relevant projects or research you’ve been involved in, and show that you’re proactive about learning new methods and techniques.
✨Collaborate and Communicate
Since collaboration is key at Tesco, think of examples where you’ve worked closely with engineers or other team members. Be prepared to talk about how you communicate complex ideas effectively, especially to those who may not have a technical background.
