Senior Finance Data Scientist

About the role

You will design and manage the predictive systems that forecast revenue for Fin. This role involves building production-grade models that convert customer behavioral data into financial insights to guide leadership decisions.

Key facts

What you'll do

• Develop and maintain probabilistic and time-series models to project ARR, renewals, and usage-based revenue.
• Create propensity models to identify churn risks and expansion opportunities.
• Build and maintain automated data pipelines to transform raw billing and product usage data into curated datasets.
• Define and refine LTV frameworks to connect product engagement with financial results.
• Perform scenario modeling and sensitivity analysis to support NRR planning.
• Communicate complex statistical findings to the CFO and executive team through dashboards and presentations.

Requirements

• 3+ years of experience in Data Science, Strategic Finance, or Revenue Analytics, specifically within SaaS or usage-based business models.
• Expert-level proficiency in SQL and high proficiency in Python, including pandas and scikit-learn.
• Experience designing scalable, code-based data pipelines rather than relying on manual spreadsheets.
• Deep understanding of SaaS metrics such as NRR, LTV, and churn.
• Ability to translate technical data into actionable business narratives.
• Proficiency with AI-native development tools like Cursor or Claude Code to speed up prototyping and documentation.

Nice to have

• Experience with forecasting libraries such as Prophet or Nixtla.

Skills & tools

• Python (pandas, scikit-learn)
• SQL
• Forecasting libraries (Prophet, Nixtla)
• AI-native development tools (Cursor, Claude Code)
• SaaS financial modeling (NRR, LTV, Churn)

Practical notes

• Compensation includes a competitive salary and equity.
• Benefits include a pension scheme with up to 4% match, comprehensive health and dental insurance for you and your dependents, and life assurance.
• Perks include daily catered lunches, a fully stocked kitchen, flexible paid time off, and a Cycle-to-Work scheme.
• Parental leave includes full maternity leave and 6 weeks of paternity leave.
• Hardware provided is typically a MacBook, with Windows options available for specific roles.