Senior Finance Data Scientist, Existing Business

📋 Description

• Architect revenue forecasting models for ARR, renewals, and expansion.
• Build production-grade time-series models from raw data.
• Develop propensity and LTV models to identify expansion and churn.
• Create scalable, automated forecasting workflows for FP&A.

🎯 Requirements

• 5-8 years in Data Science, Finance, or Revenue Analytics (SaaS).
• Advanced Python (pandas, scikit-learn) and SQL.
• Time-series forecasting with Prophet or Nixtla.
• Build scalable data pipelines and production analytics tools.
• SaaS metrics: ARR, NRR, LTV, churn understanding.
• Strong business storytelling and stakeholder influence.
• AI-native tooling experience (Cursor, Claude) for data ops.

🎁 Benefits

• Competitive salary and equity in a fast-growing start-up.
• Pension scheme with match up to 4%.
• Health and dental insurance for you and dependents.
• Flexible paid time off policy.
• Paid maternity leave and 6 weeks paternity leave.
• Cycle-to-Work Scheme with secure bike storage.