At a Glance
- Tasks: Lead the development of advanced predictive models to drive business growth.
- Company: Join Raylo, a fast-growing company on a mission for a circular economy.
- Benefits: Enjoy stock options, flexible working, and a generous holiday allowance.
- Why this job: Make a real impact in a mission-driven business while shaping the future of data science.
- Qualifications: 7+ years in data science with strong predictive modelling skills.
- Other info: Collaborative environment with opportunities for career growth and personal development.
The predicted salary is between 80000 - 100000 ÂŁ per year.
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.
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.
What to Expect:
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:
Reporting to the VP of Strategy & Analytics, you’ll define and lead Raylo’s data science capability, building advanced predictive models that drive some of the business’s most important commercial decisions. You’ll design, build and deploy production‑grade machine learning models - from credit risk and churn prediction to recommendation systems - turning Raylo’s rich data into actionable insight and measurable business impact. You’ll partner closely with teams across product, engineering, risk, operations and commercial to identify high‑impact opportunities for advanced modelling and take them end‑to‑end from ideation through deployment and monitoring. You’ll combine deep technical expertise with strong communication skills, translating complex modelling approaches into clear commercial benefits.
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.
- 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.
- 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:
- Talent Screening
- Hiring Manager Interview + SQL Test
- On‑site Interview
- Values‑based Interview
- 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, 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.
Head of Data Science in London employer: Raylo
Contact Detail:
Raylo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Raylo. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data science projects. When you get the chance to chat with hiring managers, let them see what you can do – it’s all about making an impact!
✨Tip Number 3
Be ready for the interview! Research Raylo’s mission and values, and think about how your experience aligns with their goals. Bring examples of how you’ve tackled challenges in the past – they love a gritty attitude!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Raylo team!
We think you need these skills to ace Head of Data Science in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and our mission at Raylo shine through. We want to see how your values align with ours, so don’t hold back on sharing why you’re excited about the role!
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in predictive modelling and data science. Use specific examples that demonstrate your skills and how they can contribute to our ambitious goals at Raylo.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story! Explain how your background and expertise make you the perfect fit for the Head of Data Science role. Be sure to connect your experiences to the challenges we face at Raylo.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to be part of our journey!
How to prepare for a job interview at Raylo
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially around predictive modelling and machine learning. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. Raylo is looking for someone who can translate complex data into actionable insights, so be prepared to showcase your expertise.
✨Understand Raylo's Mission
Dive deep into Raylo’s mission of promoting a circular economy. Familiarise yourself with their products and how data science plays a role in enhancing customer experience and driving growth. Showing that you understand their goals will demonstrate your genuine interest in the company and its values.
✨Prepare for Collaboration Questions
Since this role involves working closely with various teams, think about examples from your past where you successfully collaborated with others. Be ready to discuss how you’ve managed stakeholder relationships and communicated complex ideas to non-technical audiences. This will highlight your ability to work in a fast-paced environment with diverse skill sets.
✨Show Your Grit
Raylo values perseverance and ownership, so come prepared with stories that illustrate your grit. Talk about times when you faced setbacks in your projects and how you pushed through to achieve your goals. This will resonate well with their core values and show that you’re the right fit for their ambitious culture.