Data Scientist

Hours: 36

Salary: Competitive

Location: WGC/London

United Kingdom

Apply by: 01/09/2019

Data Scientist


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About the role

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. 

Some of the highlights of data science at Tesco include: 

·        A huge range of domains and problem types, with long-term projects enabling time to explore and gain expertise. 

·        10-20% dedicated time to learn new data science techniques. 

·        Genuine big data: we process over 100,000 transactions every day. 

·        Bi-weekly knowledge sharing from our experienced team and growing academic collaborations. 

·        A great work-life balance, team days and relaxed but 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 Data Scientist, you will have the following responsibilities: 

·        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). 

·        Validate, document and present the modeling process and model performance. 

·        Communicate complex solutions in a clear, understandable way to non-experts. 

·        Promote data science across Tesco and promote Tesco across the external Data Science community.

You will need

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. The requirements: 

·        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

·        Solid understanding of mathematics and statistical principles

·        Experience in one or more of the following fields: predictive modelling, operational research, deep learning and time series modelling

·        Strong programming experience, Python preferred

·        Strong communication skills

Application process

Our office application process varies depending on the role and the level of experience needed.

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