Senior / Lead Data Scientist, Cleo AI

• 5+ years in data analytics, data science, BI engineering, analytics engineering, or hybrid data/finance roles, ideally in a high-growth, product-led company
• Experience owning analytical systems end-to-end at a company level, including some exposure to modelling (scenario, cohort, simple predictive)
• Strong grasp of financial and commercial metrics - ideally from working closely with FP&A, Strategic Finance, Commercial or similar teams
• Comfortable presenting and defending analysis at senior forums, with a track record of shaping decisions at executive level
• Hands-on with BI tools (e.g. Looker, Mode, Tableau)
• Expert SQL
• A builder's instinct: bias for automation, ownership, and shipping
• Comfortable using AI tools (Claude, Cursor) as leverage - with the judgement to know when to trust output and when to verify
• Interest in fintech and Cleo's mission to make money easier and more human

Desirable

• We're hiring a Senior / Lead Data Scientist, Strategic Finance (FP&A)
• You'll own FP&A analytics end-to-end working closely with the Head of Commercial FP&A, and proactively shaping the relationship with the wider Strategic Finance team
• You'll build the tooling, reporting, and lightweight models that FP&A and the wider business rely on to make decisions, and translate the metrics and drivers behind them so business stakeholders can act on them
• You'll partner with Product, Data, Engineering, and the CEO's office on the work that shapes our financial strategy - scenario modelling, cohort analysis, and the systems that monitor how we're tracking against plan
• You'll sit within a wider Commercial Analytics team, with this being the first role fully dedicated to the automation and reporting layer within Strategic Finance
• Build the decision-support tooling behind our financial statements - revenue, gross profit, operating costs, cashflow. Lightweight models where they help; clear analysis where they don't
• Translate proposed product and business changes into their commercial impact before they ship - scenario modelling revenue, margin, and KPI effects so decisions are made with the numbers in front of them
• Own the weekly trading metrics: how we're tracking vs. targets, deep dives into the drivers behind the numbers, and using that to influence business decisions
• Proactively identify issues and opportunities. Spot where the business is drifting (or where there's upside on the table) and surface it with a clear point of view
• Automate recurring finance workflows: investor reporting, board prep, financial close tasks
• Work cross-functionally with Commercial, Product, and Engineering to define and maintain the data models behind executive and operational decisioning
• Own the reporting architecture - dashboards, semantic layers, and pipelines that underpin financial and strategic reporting
• Improve documentation and data governance so the numbers can be trusted across internal and external reporting