Burberry Data Scientist

Burberry
London
3 weeks ago
Create job alert






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.



Related Jobs

View all jobs

Data Scientist

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.