Decision Scientist

Lovey
UK
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£80,000.0
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Python (Programming Language) Machine Learning Build Management

Job description

We’re looking for a Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending.

You’ll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data, risk, and product to shape the future of our lending strategy.

What You’ll Do as Senior Decision Scientist

  • Build and deploy ML and statistical models for credit risk, affordability, and pricing
  • Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring)
  • Develop monitoring frameworks and performance dashboards
  • Drive innovation through new data sources, challenger models, and experimentation (A/B testing)
  • Translate complex models into clear, actionable business insights

Requirements

  • Strong experience in machine learning within lending (SME essential)
  • Proficiency in Python & SQL
  • Proven end-to-end model development experience
  • Background in fintech and automated decisioning environments
  • Solid understanding of UK credit risk & regulation
  • Ability to communicate effectively with both technical and business stakeholders

  • Consumer lending experience
  • Experience with model governance & monitoring frameworks
  • Strong commercial mindset and ownership attitude

About the company

Lovey is a fast-growing fintech helping UK businesses access the funding they need to grow. Since 2016, we’ve supported thousands of companies through smarter, faster, and more transparent lending.

We’re proud to be a Top 15 fastest-growing finance company, a Great Place to Work, and to hold a 4.9 Trustpilot rating, driven by our focus on innovation, trust, and real customer impact.

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