Head of Data Science in London

At Raylo, we’re on a mission to accelerate the move to a circular economy. We’re building a category-defining global subscription infrastructure, making premium tech accessible and affordable for both consumers and businesses. With over 180,000 subscribers in the UK and growth accelerating, we’ve proven the demand for a smarter, more sustainable way to access technology. Raylo is a fast-growing and profitable company, backed by global investors including Macquarie, NatWest, and Channel 4 Ventures. We are proud to have been selected for Endeavor’s network in 2024, underscoring our role as a high-impact, mission-driven business with global ambitions. We have been B-Corp certified since 2021 and were recently acknowledged by S&P Global for the positive impact of our circular business model via a Green Financing with NatWest.

Our Core Values:

• Be deeply curious – We thrive on innovation through diverse approaches, views, and people.
• Walk in your customer’s shoes – To build the best products and make the best decisions for the long term, we must figure out what our customers need, not just what they want.
• Focus and execute – We have a big vision, but we believe in nailing the most important problems first.
• Be gritty – Only gritty teams succeed. Our individual ownership, passion, and perseverance mean we’re a team through thick and thin.

We’re looking for an ambitious Head of Data Science to join Raylo and lead the development of our advanced modelling capabilities. In this role, you’ll take that foundation to the next level by designing, building and deploying predictive models that directly influence some of the most important drivers of Raylo’s growth - from credit risk and customer retention to personalised recommendations. You’ll work closely with teams across the business to identify high impact opportunities for machine learning and advanced analytics, taking projects end-to-end from idea through to production deployment and monitoring. This role combines deep technical expertise and true commercial partnership - translating complex modelling approaches into real business outcomes.

What You’ll Do:

• Define and lead Raylo’s data science capability, building advanced predictive models that drive some of the business’s most important commercial decisions.
• Design, build and deploy production-grade machine learning models - from credit risk and churn prediction to recommendation systems.
• Partner closely with teams across product, engineering, risk, operations and commercial to identify high-impact opportunities for advanced modelling.
• Combine deep technical expertise with strong communication skills, translating complex modelling approaches into clear commercial benefits.
• Play a key role in shaping the long-term data science roadmap at Raylo and building out a high-performing data science team.

You’ll Succeed With:

• 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.
• 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.
• 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 in the entire area.

Opportunities & Benefits:

• Share in Raylo’s success – Stock options for all employees.
• Get the latest tech – Exclusive Raylo device lease for employees.
• Hybrid working model – (London) 3 set days in our 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.
• Invest in your growth – L&D budget to support the skills you value.
• Fast-track your career – Two performance reviews a year.
• Family-first policies – Enhanced maternity, paternity, adoption or shared parental leave, if you’ve been with us for 12 months.
• Save big on childcare – Workplace nursery scheme for major cost savings.
• Perks on perks – Perkbox membership with discounts & wellbeing benefits.
• Good times, guaranteed – Optional quarterly socials, plus summer & Christmas parties.

Hiring Process:

Once you submit your application, our Talent Team will contact you if you have been shortlisted for the role. We set an exceptionally high bar at Raylo, and in return, we will aim to give you the best candidate experience possible. If there’s anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason, please let us know.

Stage 1: Talent Screening

Stage 2: Hiring Manager Interview + SQL Test

Stage 3: On-site Interview

Stage 4: Values-based Interview

Stage 5: Co-founder Final

*As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process.

Diversity & Inclusion at Raylo:

At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.