Computer Vision Data Scientist: GenAI & Production ML in Welwyn Garden City

Computer Vision Data Scientist: GenAI & Production ML in Welwyn Garden City

Welwyn Garden City Full-Time 50000 - 70000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Develop and deploy machine learning and computer vision solutions to enhance customer experiences.
  • Company: Join Tesco's innovative Data Science team focused on real-world impact.
  • Benefits: Enjoy a competitive salary, annual bonus, private medical insurance, and generous holiday allowance.
  • Other info: Embrace continuous learning with 10% of your week dedicated to personal development.
  • Why this job: Make a difference with cutting-edge technology while growing your skills in a collaborative environment.
  • 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 years’ 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: GenAI & Production ML in Welwyn Garden City employer: 慨正橡扯

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 a comprehensive benefits package that includes an annual bonus scheme, generous holiday allowance, and robust support for mental wellbeing, Tesco is committed to fostering a collaborative and inclusive workplace that prioritises professional growth and work-life balance.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Computer Vision Data Scientist: GenAI & Production ML in Welwyn Garden City

Tip Number 1

Network like a pro! Reach out to folks in the data science community, especially those working in computer vision and GenAI. Attend meetups or webinars, and don’t be shy about asking for informational interviews – you never know where a chat might lead!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and computer vision. Use platforms like GitHub to share your code and document your thought process – it’s a great way to impress potential employers.

Tip Number 3

Tailor your approach! When you’re applying for roles, especially at Tesco, make sure to highlight your experience with the specific tools and techniques mentioned in the job description. Show how your background aligns with their needs, and don’t forget to mention your collaborative spirit!

Tip Number 4

Keep learning! Stay updated on the latest trends in GenAI and computer vision. Follow relevant blogs, join online courses, or participate in hackathons. This not only boosts your knowledge but also shows potential employers that you’re proactive and passionate about your field.

We think you need these skills to ace Computer Vision Data Scientist: GenAI & Production ML in Welwyn Garden City

Machine Learning
Computer Vision
Generative AI
Large Language Models (LLMs)
Statistical Analysis
Algorithm Design
Deep Learning Frameworks (TensorFlow, PyTorch)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of Computer Vision Data Scientist. Highlight your experience with machine learning, computer vision, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

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 you can contribute to Tesco's mission. Be sure to mention any specific experiences that relate to the job description.

Showcase Your Projects:If you've worked on any cool projects involving generative AI or computer vision, make sure to include them in your application. We love seeing practical examples of your work and how you've tackled real-world problems!

Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining the Tesco team. We can't wait to see what you bring to the table!

How to prepare for a job interview at 慨正橡扯

Know Your Tech Inside Out

Make sure you’re well-versed in the latest developments in computer vision and generative AI. Brush up on your experience with frameworks like TensorFlow and PyTorch, and be ready to discuss specific projects where you've applied these technologies.

Translate Tech to Business

Prepare to explain complex data science concepts in simple terms. Think of examples where you’ve successfully communicated technical ideas to non-technical stakeholders, as this will show your ability to bridge the gap between tech and business.

Showcase Your Problem-Solving Skills

Be ready to discuss how you approach translating business problems into data science solutions. Have a few examples handy that demonstrate your critical thinking and scientific mindset, especially when it comes to modifying algorithms for real-world applications.

Emphasise Continuous Learning

Since Tesco values personal development, highlight your commitment to staying current with industry trends. Share any recent courses, workshops, or self-study initiatives you've undertaken to enhance your skills in machine learning and computer vision.