Senior / Lead Data Scientist, Marketing Analytics (Paid)

About The Company

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.

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About The Role

We’re looking for a Senior / Lead Data Scientist, Marketing Analytics (Paid) to join Cleo’s Marketing Analytics team.

You’ll be a primary analytics partner for our performance marketing function, helping scale a sophisticated paid acquisition engine across Meta, TikTok, Google and emerging channels. Your work will directly influence how we deploy multi-million-dollar marketing budgets, how we measure incrementality, and how we expand into new products and geographies.

You’ll work day-to-day with channel managers, creatives, data, and growth leadership to uncover insights, improve measurement frameworks, and drive investment strategy. This role is for someone who wants to own the numbers behind our growth, not just report on them.

Why this role matters

Paid acquisition has been the primary growth engine for Cleo. We’re now evolving that engine to work across more markets, more products, and a shifting signal landscape. You’ll be central to that evolution – building the measurement, attribution, and investment models that determine how and where we grow next.

What you'll be doing

Paid performance & growth analytics

• Analyse the performance of major paid channels including Meta, TikTok and Google, across multiple markets.
• Diagnose trends, identify scale opportunities, and proactively recommend channel and creative optimisations.
• Support the upcoming UK relaunch and expansion into new geographies with clear performance targets and tracking.

Incrementality, attribution & experimentation

• Design, implement and interpret incrementality tests, including conversion lift and geo-lift experiments.
• Evolve our cross-channel attribution frameworks so we can make better decisions under signal loss and privacy changes.
• Partner with data and engineering to improve attribution logic, event quality and marketing measurement systems.

Investment & budget strategy

• Build and maintain models that guide budget allocation, payback and unit economics for paid channels.
• Surface insights that directly shape multi-million-pound investment decisions and growth bets.
• Build dashboards and reporting that make channel performance and key KPIs obvious at a glance.

Cross-functional collaboration

• Partner with performance marketing, creatives, product marketing and growth leadership on strategy and testing roadmaps.
• Present insights and recommendations to senior stakeholders in a clear, commercial way.

The team you'll join

You’ll sit within Cleo’s Data organisation – a 60-person team of Analysts and Data Scientists who partner across product and growth. You’ll have peers working on experimentation, pricing, lifecycle and product analytics, and a manager who cares about your development through regular feedback, mentoring and dedicated time for learning.

What we're looking for

• 3+ years’ experience in marketing or growth analytics, with significant time spent on paid acquisition for B2C or subscription products.
• Strong SQL skills; comfortable exploring, transforming and validating large datasets independently.
• Hands-on analytics experience around paid acquisition channels (Meta, TikTok, Google) at meaningful spend levels.
• Practical experience with experimentation (e.g. A/B tests, lift tests, geo-experiments) and basic causal inference concepts.
• Familiarity with marketing attribution tools or frameworks (platform attribution, MMPs, or internal models).
• Strong commercial judgement: able to connect channel metrics to payback, LTV and profitability, and communicate trade-offs clearly.
• Ability to communicate complex analysis simply to non-technical stakeholders.

Nice to have

• Python or R for more advanced experimentation, modelling or analytics automation.
• Experience with advanced marketing measurement approaches at scale including techniques like MMM or M