Senior Finance Data Scientist, Existing Business
Dublin, Ireland — Full Time
Role Highlights
SQL
Python
Data Science
Problem Solving
Social Media
System Design
Data Protection
AI
Static
Forecasting
DataSets
Reliability
Statistics
SAAS
ProtoTyping
Storage
Mathematics
Tools, Libraries and Frameworks
Grid
JSON
Scikit-learn
ADS
Description
This role involves building production‑grade forecasting models to predict future revenue. The position focuses on translating complex customer behaviors into financial signals. It requires developing models for expansion propensity and customer lifetime value. The work includes designing and maintaining curated datasets for financial analysis.
Required Qualifications and Skills
The role requires 5 to 8 years of experience in Data Science, Strategic Finance, or Revenue Analytics, with a focus on SaaS or usage‑based business models. Advanced technical skills include high proficiency in Python (pandas, scikit‑learn) and expert‑level SQL. Experience with forecasting libraries like Prophet or Nixtla is a significant advantage. A system design mindset for building scalable data pipelines and production‑grade analytical tools is necessary. Strong understanding of SaaS metrics such as NRR, LTV, and Churn is essential. The position also requires the ability to translate technical work into business insights and leverage AI‑native development tools for accelerated development.
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