Lead Data Scientist

Harnham - Data and Analytics Recruitment
Leeds, United Kingdom
3 weeks ago
£70,000 – £90,000 pa

Salary

£70,000 – £90,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
5 May 2026 (3 weeks ago)

AI Engineer / Data Scientist

3 days in Leeds or Nottingham

We are working with a leading data and analytics organisation supporting banks and lenders by analysing large-scale consumer and transactional data.

The Role
You'll join a specialist AI & Machine Learning team building modern credit risk and decisioning models. The focus is on moving beyond traditional scorecards to advanced ML and AI techniques applied to real-world lending problems.

Key Responsibilities

  • Build and enhance credit risk and lending models
  • Apply ML and AI techniques including predictive modelling, clustering, segmentation, and transformer-based models
  • Modernise legacy models using Python-based ML approaches
  • Collaborate with product and engineering teams to deploy models into production


Required Experience

  • Background in banking, fintech lending, credit bureaus, or consulting with lending experience
  • Hands-on experience building credit risk models
  • Strong Python and SQL skills
  • Experience using ML and AI models in regulated environments


Logistics:

  • 3 days in office in either Leeds or Nottingham

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Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.