Senior/Lead Data Scientist – Fintech Lending
London / Hybrid
We’re working with a London-based fintech lender looking to hire a commercially minded Senior/Lead Data Scientist to help drive better lending decisioning, pricing, customer understanding and broader business performance.
This is a strong opportunity for someone who enjoys solving real commercial problems with data and wants to work closely with senior leadership in a scaling fintech environment. The role sits closely with the CTO, CEO and Head of Operations, with real ownership across high-impact lending and operational challenges.
The business has already built strong underlying data foundations and is now looking for someone who can take that further — using data science, analytics and AI where appropriate to improve how decisions are made across the business.
Responsibilities
- Using data to improve lending and commercial decision-making
- Supporting pricing analysis and helping the business better understand customer value and portfolio performance
- Building insight-led solutions around customer behaviour, performance and profitability
- Improving lending decisioning, approval logic and broader internal processes through data and automation
- Applying strong traditional data science techniques, with scope to use AI tools / workflows where usefulWorking closely with senior leadership on business-critical problems
- Taking ownership of problems from idea through to practical solution
Qualifications
- Around 3–5 years of commercial experience in Data Science / Decision Science / advanced analytics
- Strong Python skills
- Solid grounding in traditional data science, modelling and statistical thinking
- Experience working with modern data environments / warehouses
- Ability to work independently and operate as a genuine self-starter
- Strong communication skills and ability to work with senior stakeholders
- Commercial mindset — someone who enjoys solving business problems, not just technical ones
- Experience in fintech, lending, credit risk, underwriting, pricing, scorecards or broader financial services analytics would be highly beneficial
Ideal background
This role would likely suit someone in their second or third move who has already built strong hands‑on experience in a commercial environment. The ideal person will be technically strong, pragmatic, and excited by the chance to shape how data is used in a growing fintech lender.
Profiles from lending, credit risk, underwriting, pricing, portfolio analytics or decisioning environments are likely to be particularly relevant.
Why this role?
- Opportunity to work directly with senior leadership
- Chance to help shape the data science capability in a scaling business
- Real ownership and visibility
- Strong blend of commercial impact, technical challenge and autonomy
- Opportunity to work on meaningful problems in a data-rich fintech environment
If this sounds of interest, please apply or get in touch directly for a confidential conversation.
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