Senior Finance Data Scientist: Revenue Forecasting & LTV

Fin. The highest performing Customer Agent; Dublin; Hybrid; EUR 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and equity

Lunch provided

Pension scheme & match

Health and dental insurance

Flexible paid time off

Cycle-to-Work

MacBook provided

Job summary

Fin is seeking a Senior Finance Data Scientist, Existing Business, to architect forecasting systems that turn complex customer behavior into actionable financial signals.

You will own revenue models for usage-based revenue, renewals and expansion, build scalable data pipelines, and partner with Sales, Product and Data Engineering to align financial forecasts with product roadmaps and leadership expectations. You will translate complex results into clear stories for the CFO and executives.

Qualifications

• 3+ years in Data Science, Strategic Finance, or Revenue Analytics with SaaS focus.
• Advanced Python (pandas, scikit-learn) and Expert SQL.
• Experience building scalable data pipelines and production-grade analytical tools.

Responsibilities

• Build probabilistic and time-series forecasting models for ARR, renewals, and expansion.
• Develop curated data sets and maintain the finance data warehouse.
• Translate technical outputs into business insights and dashboards.

Skills

Python

SQL

Forecasting

SaaS mastery

Communication

Tools

Prophet

Nixtla

Job description

Fin is seeking a Senior Finance Data Scientist, Existing Business, to architect forecasting systems that turn complex customer behavior into actionable financial signals.

You will own revenue models for usage-based revenue, renewals and expansion, build scalable data pipelines, and partner with Sales, Product and Data Engineering to align financial forecasts with product roadmaps and leadership expectations. You will translate complex results into clear stories for the CFO and executives.