At a Glance
- Tasks: Drive product strategy using data insights and collaborate with cross-functional teams.
- Company: Join Cleo, a fast-growing fintech unicorn transforming financial advice.
- Benefits: Competitive salary, equity options, flexible work, and generous leave policies.
- Other info: Inclusive culture welcoming diverse backgrounds and perspectives.
- Why this job: Make a real impact on financial health while growing your career in a dynamic environment.
- Qualifications: 5+ years in quantitative analysis, strong SQL skills, and experience with A/B testing.
The predicted salary is between 74626 - 96126 £ per year.
About Cleo
At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast‑growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit.
About the role
As a Senior / Lead Data Scientist in Product Analytics you’ll be at the centre of strategic decision‑making within your team. Working as part of a cross‑functional squad alongside product managers, designers, and engineers, you’ll apply your expertise to drive the future of what we build at Cleo. You will leverage rich user data and sophisticated analytical techniques to see your insights turned into real products. You’ll also sit within the wider data science function here at Cleo; a hotshot team of 80 Product Analysts, Analytics Engineers, and Machine Learning Engineers, with significant industry experience that are at the heart of everything we do at Cleo. We are looking for a self‑starter, focused on results, with a demonstrated success in using analytics to drive the understanding, growth, and success of a product.
What you’ll be doing
- Conducting deep‑dive analysis in your product domain to understand user behaviour
- Working with Product, Machine Learning, Design, and Engineering team members in your area to build an insight‑driven product strategy that leads to high‑impact outcomes.
- Influencing the roadmap of your team through presentation of data‑based recommendations
- Defining how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters
- Conducting regular A/B tests and causal analyses to determine the impact of product changes on success metrics
- Building models of user‑segmentation, marketing attribution, customer lifetime value, etc.
- Working with Analytics Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase
What we’re looking for
- 5+ years of experience doing quantitative analysis within a digital product environment
- Experience conducting large‑scale A/B experiments and interpreting results to drive product and business decisions
- Ability to define new product metrics from complex, unstructured data
- Excellent SQL skills
- Fluency in Python and its application in data analysis is a nice to have, but not essential
- Knowledge of statistics (e.g. hypothesis testing, regressions)
- Strong communication skills, with the ability to work fluidly across technical and non‑technical teams.
- Hands‑on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow).
- A bias for action and ownership, you’re excited to build from scratch, own it end‑to‑end, and deliver value fast.
What do you get for all your hard work?
- A competitive compensation package (base + equity) with termly reviews, aligned to our OKR planning cycles.
- This is an AX3 or AX4 level role.
- AX3 banding: £74,266 - £96,126 Hybrid London or £69,699 - £90,657 UK Remote
- AX4 banding: £94,059 - £119,128 Hybrid London or £88,938 - £113,489 UK Remote
- Work at one of the fastest‑growing tech startups, backed by top VC firms, Balderton & EQT Ventures
- A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support.
- Flexibility. We can’t fight for the world’s financial health if we’re not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work.
- Work where you work best. We’re a globally distributed team. If you live in London, we have a hybrid approach, we’d love you to spend one day a week or more in our beautiful office. If you’re outside of London, we’ll encourage you to spend a couple of days with us a few times per year. And we’ll cover your travel costs, naturally.
Other benefits
- Company‑wide performance reviews every 4 months
- Generous pay increases for high‑performing team members
- Equity top‑ups for team members getting promoted
- 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days)
- 6% employer‑matched pension in the UK
- Private Medical Insurance via Vitality, dental cover, and life assurance
- Enhanced parental leave
- 1 month paid sabbatical after 4 years at Cleo
- Regular socials and activities, online and in‑person
- We’ll pay for your OpenAI subscription
- Online mental health support via Spill
- Workplace Nursery Scheme
- And many more!
Welcoming everyone
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio‑economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.
Senior / Lead Data Scientist, Product Analytics Office: United Kingdom Remote: Portugal | Spain | UK employer: Wayfindi
Cleo is an exceptional employer that champions innovation and inclusivity, offering a dynamic work culture where talented individuals can thrive. With a competitive compensation package, clear progression plans, and a commitment to employee well-being, Cleo empowers its team members to make a meaningful impact in the fintech space while enjoying flexibility and support for personal growth. Join us in shaping the future of finance from anywhere in the UK, Portugal, or Spain, and be part of a fast-growing unicorn that values collaboration and positive change.
StudySmarter Expert Advice🤫
We think this is how you could land Senior / Lead Data Scientist, Product Analytics Office: United Kingdom Remote: Portugal | Spain | UK
✨Tip Number 1
Network like a pro! Reach out to current or former Cleo employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Cleo's mission and values. Show us how your skills align with our goal of transforming financial relationships. Tailor your examples to highlight your impact in previous roles.
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex analyses in simple terms. We want to see how you can communicate insights effectively across teams, so think about how you’d present your findings to non-technical folks.
✨Tip Number 4
Don’t forget to showcase your passion for product analytics! Share any personal projects or case studies that demonstrate your analytical skills and creativity. This is your chance to stand out and show us what you can bring to the table!
We think you need these skills to ace Senior / Lead Data Scientist, Product Analytics Office: United Kingdom Remote: Portugal | Spain | UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior / Lead Data Scientist. Highlight your experience with quantitative analysis, A/B testing, and any relevant tools like SQL and BI software. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Cleo's mission and how your background makes you a perfect fit. Don’t forget to mention specific projects or achievements that showcase your analytical prowess.
Showcase Your Analytical Skills:In your application, be sure to include examples of how you've used data to drive product decisions. Whether it's through A/B testing or user segmentation, we want to see your thought process and the impact of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Cleo!
How to prepare for a job interview at Wayfindi
✨Know Your Data Inside Out
As a Senior/Lead Data Scientist, you'll need to demonstrate your expertise in quantitative analysis. Brush up on your experience with A/B testing and be ready to discuss specific examples where your insights led to impactful product decisions.
✨Showcase Your Collaboration Skills
Cleo values teamwork across various functions. Prepare to share experiences where you've successfully collaborated with product managers, designers, or engineers. Highlight how your communication skills helped bridge gaps between technical and non-technical teams.
✨Prepare for Technical Questions
Expect questions that test your SQL and Python skills, even if Python isn't essential. Be ready to solve problems on the spot or explain your thought process behind data modelling and analytics techniques you've used in the past.
✨Align with Cleo's Mission
Cleo is all about transforming financial relationships. Research their products and think about how your role as a data scientist can contribute to this mission. Be prepared to discuss how you can leverage user data to drive meaningful change.