Data Scientist - Credit

Harnham - Data and Analytics Recruitment
London, United Kingdom
3 weeks ago
£55,000 – £65,000 pa

Salary

£55,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
6 May 2026 (3 weeks ago)

Benefits

Company pension scheme Private medical care Equity scheme

Data Scientist - Credit Risk
£55-65,000
London

THE COMPANY

This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

  • Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
  • Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
  • Own the deployment and implementation of predictive models across the product suite
  • Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

  • Essential to have experience developing predictive models, ideally within credit risk
  • SQL and Python experience is essential
  • Essential to have experience using Machine Learning techniques to develop non-linear models
  • Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

  • Base salary from £55-65,000
  • Company pension scheme
  • Private medical care
  • Equity scheme

HOW TO APPLY

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

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Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.