Data Scientist Graduate

Harrods
London
1 month ago
Create job alert

Harrods are looking for exceptional Graduates to join our Data Science team within the Digital & Customer Department, working for our world-famous Luxury department store. This is an exciting opportunity to support our evolving and dynamic business needs, as we leverage the latest technologies to enhance our brand and customer experience even further.


About The Role



The Digital & Customer Department at Harrods runs the Harrods.com website and maximises value from our customer and digital data via our world-class loyalty scheme, CRM communications, customer insights & analytics, and data science capabilities.



The Harrods Data Science Graduate Scheme has the option of up to 4 rotations over a 2-year period, giving applicants a rounded view across the Data Science, Platform Engineering and Machine Learning roles. As a Graduate in Data Science, you will gain valuable exposure to teams including Customer Analytics, Digital Analytics, CRM & Loyalty Analytics. You will gain an in-depth understanding of how the various teams interact with each other and the business, as well as the opportunity to use different technology and tools within each rotation.



The Graduate Scheme will be tailored to your interests, skills and strengths, allowing us to help you identify a rewarding and sustainable career path in Data Science. Through mentoring from senior managers and tailored training you will be supported to develop both your technical and professional knowledge.



About You



You will need to have a 2:1 degree or above in Mathematically rigorous degrees, such as Mathematics, Physics, Economics, Engineering, Computer Science or Data Science, with previous experience in using Python or SQL during your degree or work experience.



You will have both excellent organisational and interpersonal skills, as well as strong time-management skills, and the ability and willingness to multi-task. The successful candidate will be self-motivated, and will contribute to the wider team through participation and ownership of different projects.



About Us



As the world’s leading luxury retail emporium, we craft magic, memorable experiences for our customers and support our talented teams to become the best ambassadors for our global brand. We set the highest standards and reward the remarkable people who help us maintain them



Our Promise to You



Help us make the impossible possible for our customers and we’ll do something remarkable for you. As well as offering a friendly environment to inspire your best work, we provide abundant opportunities and support to build an exceptional career across the varied specialisms of our business.



In return you’ll receive an excellent benefits package, including a company pension, flexible working, 25 days’ holiday, and your birthday off, up to 33% in-store discount (including across our food hall and restaurants) and a season ticket loan.



Uniquely You



Whilst our job adverts outline the ideal qualities, skills, and prior experience for the role, we believe in the potential for growth and value individual strengths. If you can demonstrate the majority of skills and strong experience to thrive in this role, we would encourage you to apply.



At Harrods we believe the personality and authenticity of our people sets us apart. We celebrate and invite applications from all cultures, backgrounds, tastes, and experiences and are proud of our culture where people from all walks of life can grow and thrive. What makes you unique makes us exceptional.



If you want to know more about our people and our culture, search #TogetherHarrods on LinkedIn, Facebook or follow us on Instagram @togetherharrods

Related Jobs

View all jobs

Graduate Data Scientist - Client-Facing, Hybrid Edinburgh

Graduate Data Scientist

Graduate Data Scientist - Hands-on Analytics & ML

Data Scientist

Junior AI Data Scientist - NLP, RAG (Hybrid)

Data Scientist / Data Engineer within Defence & Security – Deloitte via AMS Skills Creation

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.

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.