You will lead the transition from descriptive analytics to adaptive decision systems for a platform supporting over 1 million mortgages. By operationalizing redemption models and building causal measurement frameworks, you'll help major UK lenders reduce friction and optimize financial journeys through data-driven interventions and production-grade machine learning workflows.
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Senior Data Scientist at Eligible Limited
Eligible is building the behavioral decision intelligence layer for regulated financial servicing, and they're looking for a Senior Data Scientist to lead the charge. This isn't a pure modeling role—you'll be operationalizing redemption models and building production-grade experimentation frameworks for a platform supporting over 1 million mortgages. Working directly with the founder in a high-ownership environment, you'll bridge the gap between statistical rigor and practical product delivery. If you have deep expertise in Python, causal inference, and production ML, this is your chance to shape the intelligence architecture of a category-defining fintech platform. Remote UK/EU with a base up to £110k.
About this role
Role overview
About the company
Eligible Limited
Eligible Limited (eligible.ai) is a UK-based fintech company that provides an AI-driven mortgage servicing and retention platform for lenders, brokers, and financial institutions. Its software uses customer and mortgage data to deliver personalised, automated engagement throughout the life of a mortgage, educating borrowers, surfacing key “moments” such as product end dates or refinancing opportunities, and prompting timely advice. The platform aims to help firms increase mortgage retention, drive higher revenue and ROI, and improve regulatory and consumer-duty outcomes by ensuring every customer receives relevant, ongoing communication. Eligible’s solution is used by thousands of advisers and hundreds of thousands of consumers, offering real-time customer journeys that boost retention, cut servicing costs, and reduce risk for mortgage providers.
What you'll do
What you will do
- Deploy and operationalize a redemption prediction model into live product decisioning to drive real-time customer interventions.
- Build a robust experimentation framework and exposure measurement capability for long-lifecycle financial products.
- Establish statistical standards for behavioral segmentation, cohort-based forecasting, and longitudinal consumer lifecycle analysis.
Who you are
Who this is a fit for
- Senior-level expertise in Python and SQL with a proven track record of deploying ML models into production product environments.
- Deep understanding of experimentation, causal inference, and statistical modeling within behavioral or product-focused datasets.
- Experience navigating the technical and regulatory complexities of fintech, health-tech, or subscription-based behavioral product environments.
Why this role
Why this role is remarkable
- Shape the intelligence layer of a category-defining platform that already processes over a million mortgages for major UK lenders and building societies.
- Move beyond static modeling by building real-world experimentation and causal reasoning capabilities directly into live regulated financial servicing workflows.
- Work in a high-ownership environment with direct access to the founder and leadership, mentoring a growing team while influencing foundational technical architecture.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.