Head of Data Science

Carmoola · London · £120,000–£140,000 (stated in the posting)

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Join the Revolution in Car Finance 🚗💥

At Carmoola, we’re changing the way people get on the road – making it faster, fairer, and entirely built around the customer. We’ve started with car finance, reimagining it from the ground up with a seamless, digital experience that puts drivers in control.

Since launch, we’ve raised over £540m from top-tier investors (including QED), helped over 31,000 customers get behind the wheel – and we’re scaling fast.

To take things to the next level, we're looking for a technical, AI-native Head of Data Science to build and deploy the models that let us lend faster, safely, at scale.

Your Mission

You'll take the reins on building and owning Carmoola's data science strategy – from designing and deploying the AI to assess risk across our application flow, to using Open Banking to provide frictionless, accurate affordability assessments. You'll have a huge amount of autonomy and responsibility from day one, and the opportunity to define what AI-native risk and affordability at Carmoola really means.

This is a high-impact role for someone who is as comfortable writing and shipping production code as presenting to leadership, thinks commercially about the cost of friction, and knows how to build something from scratch. You won't hand requirements to another team – you'll set the strategy, build the models and agents yourself, deploy them into live decisioning and prove their impact on real losses.

What You'll Be Doing

Own our risk prediction strategy - Set the direction across data science methods, data sources and platforms. Decide what we build versus buy, and balance loss prevention against friction for customers and dealers.

Lead delivery across the business - Own the data science roadmap. Shape requirements with Product and Engineering, work with Credit, Ops and Collections to make models fit how the business really runs, and keep delivery moving from idea to live impact.

Develop the models underneath - Build Gradient Boosting Machines to predict risk, Open Banking categorisation models, plus look for other uses of data science techniques to meet our goals.

Ship it to production - Own deployment end to end, from tested, version-controlled code and CI/CD to safe releases and live monitoring for drift and performance, with clear governance and human oversight wherever customers are affected.

Turn data into decisions - Deliver analytics and MI that show how your models are winning, and report against risk appetite to senior leadership and the board.

Requirements

What You'll Bring

Benefits

Why Join Carmoola?

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