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 competitive salary, annual bonus, generous holiday, and private medical insurance.
- Other info: Flexible working patterns and a culture that values diversity and personal development.
- Why this job: Make a real impact using cutting-edge AI technologies in a supportive and inclusive environment.
- Qualifications: Strong foundation in machine learning, programming, and experience with generative AI preferred.
The predicted salary is between 50000 - 65000 £ 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, 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.
You will be responsible for
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.
You will need
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.
Whats 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 (12 months service required at the qualifying date) 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
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 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.
Data Scientist in Welwyn Garden City employer: Eworker
At Safran, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Cwmbran, South Wales, where innovation and collaboration thrive. Our commitment to employee growth is evident through extensive training opportunities, a supportive culture that values diversity, and a comprehensive benefits package including generous holiday allowances and private medical cover. Join us in crafting excellence together as we lead the way in aerospace technology and create a sustainable future for all.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Welwyn Garden City
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Eworker!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Eworker.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Eworker.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Scientist in Welwyn Garden City
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Eworker, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Eworker. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Eworker
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Eworker!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
