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

Apply Now

Head of Data Science

Harnham
London
1 week ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science

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 Credit Risk, Fraud, and Pricing Analytics teams in the Lending and Insurance Sectors | The Talent Driving The Data and AI Revolution

HEAD OF DATA SCIENCE – CREDIT RISK

London

THE COMPANY

This dynamic and fast-paced lender have grown significantly over the past few years and are looking to add a motivated and experienced individual within their growing data science function. This role offers the chance to work end-to-end across a range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space.

THE ROLE

  • Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
  • Own the implementation and enhancement of AI techniques to further innovate and enhance the model suite.
  • Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
  • Manage a small team to enhance business performance

YOUR SKILLS AND EXPERIENCE:

  • Essential to have experience developing predictive models
  • SQL and Python experience is essential
  • Experience working with AI, either in a professional or educational environment, is essential
  • Highly desirable to have had experience in Consumer Lending and a strong understanding of the credit lifecycle
  • Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech is a plus

SALARY AND BENEFITS

  • Base salary from £120-140,000 depending on experience
  • Private medical care
  • Company pension
  • 25 days holiday
  • Cycle to work scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst
  • IndustriesBanking and Financial Services

Referrals increase your chances of interviewing at Harnham by 2x

Get notified about new Head of Data Science jobs in London Area, United Kingdom.

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 months ago

RC317 - Head of Applied Data Science & Strategy

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

Associate Director - Research & Insights

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 1 week ago

London Area, United Kingdom £120,000.00-£140,000.00 1 month ago

London, England, United Kingdom 1 week ago

Research Programme Manager – Haematology Data Science Initiative

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 days ago

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Senior Manager - Machine Learning EngineeringAI Associate Director, Life Sciences, Research & Development

London, England, United Kingdom 1 day ago

Southwark, England, United Kingdom 1 week ago

Senior Engineering Manager - Machine Learning (hybrid/remote)

Greater London, England, United Kingdom 2 weeks ago

AI Associate Director, Commercial - Life Sciences

London, England, United Kingdom 1 week 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.