Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Raw Material Sampling Analyst

Burberry Limited
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Senior Consultant - Belfast

Quality Assurance Supervisor

Data Scientist (Sports Analytics)

Data Scientist (Sports Analytics)

Data Scientist

Lead Data Science Consultant

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

This role drives data-informed decisions to optimise sampling procurement and supply chain processes. Combining expertise in data analysis, app development, and task automation, you will enhance the RMP Sampling team’s efficiency in managing raw materials. With a focus on optimising procurement data and inventory management, you will streamline workflows, improve coordination, and implement systems that elevate supply chain performance.
 

RESPONSIBILITIES
  • Conduct data entry and analysis on raw material procurement, including costs, lead times, and supplier metrics, using tools like Power BI and Excel.
  • Create dashboards and reports to track KPIs such as spend, inventory levels, and supplier performance, delivering actionable insights.
  • Analyse material availability, risks, and forecasts to enhance procurement stability and supply chain efficiency.
  • Streamline processes and develop workflow solutions using Microsoft Power Apps and Power Automate to improve supply chain coordination.
  • Monitor supplier and warehouse performance, optimise inventory at third-party warehouses, and support strategies for improved sourcing and logistics.
  • Ensure procurement data accuracy, integrate systems, and drive continuous process improvements for efficiency and cost-effectiveness.
     
PERSONAL PROFILE
  • Bachelor’s Degree in Data Science, Supply Chain Management, Business, or a related field.
  • 2-4 years of data analysis experience, ideally in luxury fashion, with strong proficiency in Excel, Power BI, and Tableau.
  • Expertise in Microsoft Power Apps and Power Automate to streamline workflows, optimise processes, and enhance collaboration.
  • Knowledge of PLM software and third-party warehouse automation systems.
  • Strong analytical skills, attention to detail, and ability to work cross-functionally with flexibility and initiative.
  • Familiarity with the luxury fashion industry, including raw materials, sustainability trends, and emerging technologies.
MEASURES OF SUCCESS
FOOTER

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

 

Posting Notes: United Kingdom || Not Applicable || London || SC CENTRAL OPERATIONS || RAW MATERIALS MANAGEMENT -RTW || n/a ||

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.

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.