Hours: 36
Salary: Competitive
Location: London
United Kingdom
Apply by: 23/11/2023
London
At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects.
We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have got a great work-life balance, team days and relaxed but engaging culture.
This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community.
We are looking for ambitious individuals with a mix of statistics, programming and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential.
An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematics and statistical principles.
Experience in one or more of the following fields is required: predictive modelling, operational research, deep learning and time series modelling. Finally, strong programming experience (Python is preferred).
We offer excellent benefits that help make Tesco a great place to work! These include but are not limited to:
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. For further information on the accessibility support we can offer, please click here.
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. Please talk to us about how this can work for you - Everyone is welcome at Tesco.