Senior Finance Data Scientist

Job title: Senior Finance Data Scientist

About the Role

The Senior Finance Data Scientist operates at the intersection of advanced analytics, finance domain expertise, and business decision-making. The role focuses on designing, developing, maintaining, and enhancing machine-learning-driven finance reporting solutions, while translating complex analytical concepts into clear, reliable, and trusted financial insights for business stakeholders. This position requires strong PMI finance acumen, deep technical expertise in data science, and the ability to collaborate effectively across Finance, Reporting, and Analytics teams. In this role, you will work on production grade ML solutions used across markets, directly influencing Finance reporting quality and decision making. You will help build trust through strong financial storytelling and contribute to the development of new Finance analytics use cases within a growing global capability. The team bridges advanced data science with practical business applications, delivering ML enabled Power BI solutions such as volume forecasts and market insights, with a strong emphasis on transparency, explainability, and business trust.

What You'll Do

• Design, develop, maintain, and enhance machine-learning-driven finance reporting solutions, translating complex analytics into clear financial insights for stakeholders.
• Deliver production-grade ML solutions used across markets to influence finance reporting quality and decision making.
• Build trust through strong financial storytelling and contribute to new Finance analytics use cases within a growing global capability.
• Collaborate across Finance, Reporting, and Analytics teams and develop ML-enabled Power BI dashboards with emphasis on transparency and explainability.
• Work with data engineering, data management, and BI teams to ensure data quality and governance for reporting outputs.

What We're Looking For

• Degree in Data Science, Applied Mathematics, Finance or related field with strong analytics/programming exposure.
• At least 4 years of experience in Data Science and Advanced Analytics.
• Proven record on time-series forecasting and Gen AI use-cases; hands-on experience building and scaling GenAI-based products.
• Strong programming skills in Python and SQL; experience with Git and testing practices.
• Solid foundation in statistics and probability; hands-on with core methods.
• Strong data management and data wrangling skills, handling large datasets with pandas, numpy, scipy.
• Experience with BI tools, especially dashboards powered by ML outputs.
• Experience with Snowflake and data ingestion pipelines is a strong plus.
• Proven experience as a Data Scientist in Finance or business-critical domain; financial knowledge is an advantage.
• Excellent communication and collaboration skills and PMI finance acumen.

Nice to Have

• Hands-on experience building and scaling GenAI-based products including conversational interfaces, intelligent assistants, and automated insight and narrative generation.
• Power BI dashboards powered by ML outputs; strong emphasis on explainability and business trust.
• Snowflake data pipelines; knowledge of ingestion processes.