Burberry Data Scientist

Burberry

London

3 months ago

Applications closed

Job Details

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.