Data Scientist

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

Data is at the heart of how we understand our impact and plan our future. We are looking for a Data Scientist to join our Marketing Science team—the group responsible for providing our Marketing, Finance, and Digital teams with the evidence they need to move the brand forward. This is a technical role with a commercial edge. You will use advanced statistical modelling and optimisation to translate complex data into clear outcomes: from quarterly budget scenarios to daily digital attribution. Your work will ensure that every decision we make is backed by rigorous analysis and a deep understanding of our global marketing effectiveness. This role is a perfect launchpad for a high-achieving Graduate (Data Science, Stats, CS, or Engineering) or a junior professional looking to scale their career in a fast-paced, data-driven environment.

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!

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