Finance Data Scientist
Core
Design, build, and maintain analytical and machine learning models for core Finance use cases such as forecasting, profitability and cash‑flow modeling, scenario analysis, and decision support.
Role type
Finance Data Scientist
Builds
Scalable analytical products and data-driven insights for financial processes
Domain
Corporate Finance / Financial Planning & Analysis (FP&A)
Deliverable
production ML models
Required skills
Python, SQL, machine learning development, financial statement analysis, ERP data structures, scenario analysis, model governance
Preferred skills
FP&A or financial modeling exposure, data science certifications, experience in multinational matrix organizations
Technologies
Python, SQL, analytical libraries, ERP systems
Responsibilities
Design and maintain ML models for forecasting and cash-flow; translate business questions into structured analytical approaches; collaborate with IT to design data pipelines; ensure data quality and model governance; promote data best practices within the Finance community
Seniority
Mid-level (3-5 years experience)
