Senior Data Scientist - Forecasting
Listed on 2026-02-17
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, Data Science Manager
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About the role
At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products 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: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise; knowledge-sharing events are held regularly. Furthermore, we offer a great work-life balance, regular team days and a relaxed yet engaging culture.
You will be responsible for
This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Senior Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. A core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark).
Our data scientists must be able to validate, document and present the modelling process and performance, 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 representing Tesco across the external Data Science community. Finally, as a Senior Data Scientist, you will be expected to drive innovation and take ownership of aspects of the project development, support the Lead Data Scientist and Product Manager in managing relationships with the business stakeholders and mentor and supervise junior team members and interns
You will need
We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project and stakeholder management experience is preferred.
An ideal candidate will have a scientific mindset 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.
Meaningful academic or industrial work involving specific experience in time series modelling and forecasting is required. Further experience in time series analysis using machine learning, deep learning, or econometrics being considered a significant plus.
Finally, strong programming skills are essential (Python is preferred) as well as familiarity with software engineering best practices (such as version control, unit testing, CI/CD) and big data and cloud technologies (PySpark preferred).
Whats in it for you?
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. to find out more!
- 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 4 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
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…
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