28th May 2019
Welwyn Garden City
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Our vision here at Tesco is to serve Britain's shoppers a little better every day.
We want to become every customer's favourite way to shop, whether they are online or in our stores.
As one of the world's largest retailers, Tesco has over 6,000 stores globally, successful online and digital businesses and a truly innovative culture. We operate in complex environments and with a volume of data few other companies have access to. We have embraced Data Science solutions full on, exploiting expert techniques to drive the business ambition of becoming a multi-channel leader and we are looking for curious individuals who want to make a mark and contribute to this ground breaking work.
About the Tesco Data Science Team
The Data Science Team sits centrally within Tesco and focuses on solving complex business problems and developing data products that can be deployed at scale to our customers. Our work spans across multiple areas including physical stores, online, fulfilment, marketing and Clubcard and we encourage rotation amongst our Data Scientists so they can apply their skills to different business challenges and gain deeper levels of subject matter expertise. The Data Science Team is made up of multi-disciplined researchers and practitioners with varied backgrounds from both academia and the business world. We strive to foster a culture of innovation by encouraging our Data Scientists to focus 20% of their time on self-driven projects that utilise their expertise to solve real-world challenges that Tesco faces.
Our core work involves:
Developing data products that can be deployed at scale both internally and externally
Supporting the automation of decision making across the business
Optimising processes for key business objectives
Conducting deep dive exploratory analysis to inform strategic decision making
Examples of our previous work include:
Building search and recommender Systems for our web portfolio
Optimising space and range within our stores
Optimising delivery routes for our vans
Developing enhanced picking algorithms for our fulfilment centres
Optimising online prices
Developing measures of long term customer value
As a Data Scientist, you will have the following responsibilities:
Solve Data Science problems and participate in the majority of the project lifecycle with minimal support from senior team members
Understand difficult business problems and prototype solutions
Analyse and link complex datasets so that they may be learned from or optimised
Build mathematical models on top of big data architectures to gain deep insights into opportunities to improve the customer experience and the Tesco business
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
Ideal Candidate Profile
You are a Data Scientist with a strong knowledge of the Data Science Toolkit (Maths & Stats, Programming, Machine Learning, Communication & Visualisation etc) who evangelises Data Science. You therefore tick the majority of the following points:
Mathematical & Statistical Understanding:
A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline with application to Data Science
The ability to use your academic knowledge and commercial experience to tackle specific business problems
An analytical mind set and the ability to use your academic knowledge to tackle specific business problems
Experience with different programming languages and a good grasp of at least one language - Python, Scala, Java, R (or similar)
Understanding of common data structures and algorithms. Understanding of time and space complexity
Use of version control (Git)
Experience working with open source Data Science environments
Knowledge of open source big-data technology such as Apache Hadoop, Spark, Hive, Pig, MapReduce
Experience building production systems would be extremely benifical
A proven track record of:
Contributing to the success of high impact Data Science projects within complex organisations
Generating insights from large data sets containing event records for millions of customers
Partnering with technology teams to productionize your developments and roll out at scale
A background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required.