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. Follow us on LinkedIn to keep up to date with new product features and insights from the team.

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