Head of Data Science

Carmoola
London
9 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Head of Data Science, Analytics and Reporting

Head of Data Science

Head of Data Science

Head of Data Science

Head Of Data Science

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 £240m from top-tier investors (including QED), helped over 10,000 customers get behind the wheel – and we’re scaling fast. But we’re just getting started.

Your Mission

We are looking for an exceptional and seasoned Head of Data Science. You will lead the company’s Credit Scoring, Fraud, and Collections / Customer Engagement analysis strategy. 

Requirements

What You’ll Be Doing

  • Working within the credit and analytics team to build a world class lending platform
  • Analyse ways to increase acceptance rates while maintaining performance
  • Identify data and algorithmic opportunities to reduce fraud risk 
  • Own the Collections strategy and deliver solutions to improve debt recovery
  • Create analytic testing frameworks

What You’ll Bring

  • 5 years+ experience in an analytically strong financial services provider
  • Eagerness to get ‘stuck in’, collaborate with different teams and work across a wide range of different areas.
  • A good understanding of the regulatory environment, especially responsible lending (creditworthiness/ affordability) 
  • Experience in using the latest data science techniques to enhance decisioning
  • Strong background in risk management

Benefits

Why Join Carmoola?

  • Competitive salary (£120-£140k, depending on experience)
  • Equity/options package
  • The opportunity to build and shape a data science function from the ground up
  • A vibrant, innovative working environment with a talented, supportive team
  • Hybrid working model with a modern office in Primrose Hill London

Join Carmoola in reshaping the world of car finance with your data skills. We celebrate diversity and encourage individuals from all backgrounds to apply. Carmoola is driving change in car finance - come be part of it!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.