Senior​/Lead Data Scientist, Product Analytics

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.

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  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.

• 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

• 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.

• 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.…