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

Apply Now

Principal Data Scientist

Harnham
greater london, england, united kingdom
1 week ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

5 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Principal Data Scientist

Up to £85,000

London (Hybrid, 3 days onsite per week)

Company:

Join one of the world’s biggest high street fashion brands, who has been leading the industry for the past 55 years. They are looking for a Principal Data Scientist to lead and scale their data science strategy, helping to unlock insights, optimise performance, and shape the future!

They are on a mission to make a real impact - for our customers and our people. With a strong presence both online and offline, we're committed to driving innovation, embracing inclusivity, and creating meaningful experiences through the power of data.

Responsibilities:

  • Own the data science strategy and roadmap across the business
  • Build, mentor, and scale a high-performing team of data scientists and analysts
  • Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation
  • Translate business problems into data science use cases and deliver measurable outcomes
  • Use data-driven insights to streamline workflows and improve decision-making in areas like inventory, logistics, and customer journey
  • Measure success through improvements in performance metrics like conversion, retention, stock accuracy, and customer satisfaction

Requirements:

  • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
  • Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning)
  • Track record of delivering high-impact AI projects from concept to production
  • Strong communication skills – able to translate complex insights into business value
  • Passionate about innovation, mentorship, and driving change through data

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst and Engineering
  • IndustriesRetail Apparel and Fashion

Referrals increase your chances of interviewing at Harnham by 2x

Get notified about new Data Scientist jobs in London Area, United Kingdom.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

Hammersmith, England, United Kingdom 3 weeks ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Engineer, Pricing

London, England, United Kingdom 4 days ago

London, England, United Kingdom 3 hours ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.