> Markdown version of [/jobs/ext/3282032-head-of-data-science](https://www.wearedevelopers.com/jobs/ext/3282032-head-of-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data Science - **Company:** Raylo - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Recommender Systems, User-Centered Design, Working Model 2D - **Published:** September 4, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=649999c87b1e6c74 ## About the Role * A proven track record with 7+ years of experience in data science and predictive modelling * A 2:1 or higher from a top university, preferably in a STEM or quantitative discipline. * Using your technical skills to build state of the art ML models and deploy them in production * The desire to build, coach and motivate a broader function while continuing to deliver on high quality IC projects * Collaborating in a fast-paced environment across the business with diverse skill sets and personality types. You have great stakeholder management skills and love using your analytical skills to champion data-driven decision-making and educate others. * Taking responsibility and ownership for the work the entire area - if you're not getting it done, then no one is ## Description * Reporting to the VP of Strategy & Analytics, you'll define and lead Raylo's data science function, deploying cutting edge AI and ML to solve Raylo's hardest problems * You'll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk and churn prediction to recommendation systems * You'll partner closely with teams across product, engineering, risk, operations and commercial to identify high-impact opportunities for advanced modelling and take them from ideation through to action. * You'll combine deep technical expertise with strong communication skills, translating complex modelling approaches into clear commercial benefits * Starting as a hands-on technical leader, you'll own and shape the data science roadmap at Raylo, defining how AI is used to transform the practice of data science and build the function from the ground up Your work will directly influence key outcomes for Raylo - from managing risk and improving customer retention to unlocking new growth opportunities as the business scales internationally., * Fast-track your career - 40% of our employees are promoted every review cycle (bi-annually) * Exclusive Raylo device lease for employees * Private Medical Insurance * Stock options for all employees * L&D budget to support the skills you value * Hybrid working model- 3 set days in the London Bridge Office (Monday, Wednesday & Thursday) * 33 days off, your way - 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you * Enhanced maternity, paternity, adoption or shared parental leave, if you've been with us for 12 months. * Workplace nursery scheme for major cost savings ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [100 million days in Vienna: A story of APIs & AI in tourism.](https://www.wearedevelopers.com/videos/93-100-million-days-in-vienna-a-story-of-apis-ai-in-tourism) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)