Senior Decision Scientist (Lending)
Lovey Birmingham (Hybrid) Up to £95,000
About Lovey
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.
The Role
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
What We're Looking For From Senior Decision Scientist
- 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
Bonus Points
- Consumer lending experience
- Experience with model governance & monitoring frameworks
- Strong commercial mindset and ownership attitude
Benefits
Why Join Lovey?
- Be part of a high-growth fintech shaping the future of SME lending
- Work on high-impact models used in real underwriting decisions
- Collaborate with a talented, cross-functional team
- Join a company that truly values innovation, trust, and people