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Data Scientist

Department:  Strategy & Data & Analytics
City:  London
Location:  GB

INTRODUCTION
At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.  

We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.

 

JOB PURPOSE

We’re looking for a Data Scientist to join our Marketing Science team, which empowers Marketing, Finance, and Digital stakeholders to make smarter, data-driven decisions. This team uses advanced statistical modelling and optimisation techniques to deliver quarterly budget scenarios, monthly marketing effectiveness reports, and daily attribution results for digital channels.

 

RESPONSIBILITIES

  • Develop advanced analytics and cutting-edge machine learning models to support business strategy and drive performance.
  • Optimise and evolve existing models, applying a test-and-learn approach to ensure impactful improvements.
  • Present insights and analytics solutions to stakeholders, influencing strategic decisions.
  • Design and evaluate experiments to demonstrate value across the business.
  • Stay ahead of emerging trends in data science and AI, continuously learning and innovating.

 

PERSONAL PROFILE

  • MSc or PhD in a quantitative field (Data Science, Statistics, Computer Science, Engineering, etc.).
  • Experience in data science techniques and Python programming.
  • Hands-on knowledge of media mix modelling, attribution modelling, incrementality testing, time series, Bayesian statistics, deep learning, or large language models (LLMs).
  • Strong problem-solving skills and ability to translate business needs into analytical frameworks.
  • Excellent communication skills to explain complex analytics to non-technical stakeholders.

 

If you’re passionate about using data to solve business problems and drive value, join us and help shape Burberry’s data-driven future. Apply now!

FOOTER
Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience.


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