At a Glance
- Tasks: Develop and deploy machine learning solutions to enhance customer experiences and optimise operations.
- Company: Join Tesco's innovative Data Science team with a focus on collaboration and continuous learning.
- Benefits: Enjoy flexible working patterns, professional development, and a supportive work-life balance.
- Why this job: Make a real impact using cutting-edge AI technologies in a dynamic and inclusive environment.
- Qualifications: Strong foundation in machine learning, programming, and experience with generative AI is preferred.
- Other info: Embrace a culture of knowledge sharing and career growth opportunities at Tesco.
The predicted salary is between 28800 - 48000 £ per year.
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, 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.
As a Data Scientist at Tesco, you will develop and deploy machine learning 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 LLMs will be essential, as you will help to evaluate and integrate emerging techniques into our data products. We are looking for a curious and driven individual with a strong foundation in machine learning, statistics, and programming. You will be comfortable designing and implementing models using Python and working with large‑scale data in distributed computing environments. Hands‑on experience with generative AI, LLMs, and deep learning frameworks is valued.
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.
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.
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.
Data Scientist in Welwyn Garden City employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to current or former Tesco employees 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 machine learning projects, especially those involving generative AI and LLMs. This will not only demonstrate your technical abilities but also your passion for data science.
✨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 stakeholders, so practice breaking down your projects and findings into simple terms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be able to keep track of your application status easily.
We think you need these skills to ace Data Scientist in Welwyn Garden City
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role at Tesco. Highlight your machine learning projects, coding skills in Python, and any experience with generative AI or LLMs. We want to see how you can contribute to our mission!
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 enthusiasm for continuous learning and collaboration, as these are key to our culture.
Showcase Your Projects: If you've worked on relevant projects, whether in academia or industry, make sure to include them in your application. Describe the challenges you faced, the solutions you implemented, and the impact of your work. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our team there. Let’s get started on this journey together!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, statistics, and programming skills, especially in Python. Be ready to discuss your hands-on experience with generative AI and LLMs, as well as any projects you've worked on that demonstrate your ability to translate business problems into data science solutions.
✨Show Off Your Communication Skills
Since you'll need to explain complex ideas to non-technical stakeholders, practice how you can simplify your findings. Prepare examples of how you've communicated technical concepts in the past, and think about how you can make your insights relatable to different audiences.
✨Emphasise Continuous Learning
Tesco values a culture of continuous learning, so be prepared to talk about how you stay current with developments in GenAI and LLMs. Share any courses, workshops, or self-study you've undertaken, and express your enthusiasm for ongoing professional development.
✨Be Ready to Collaborate
Collaboration is key at Tesco, so think of examples where you've worked closely with others, especially in cross-functional teams. Highlight your experience working with Machine Learning Engineers and Software Engineers, and be ready to discuss how you ensure your solutions are efficient and maintainable.