Finance Data Scientist

About the roleWe're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO. Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments.Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong.Build forecasting and scenario models that FP&A uses directly in planning and board reporting.Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis.RequirementsDemonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company.Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language.Rigour around data quality: you reconcile by default and can explain a variance, not just report it.Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks.BonusExperience preparing finance data for audit, SOX or IPO readiness.Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business.Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers.LocationThis role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York.