Finance Data Scientist: ML, GenAI & Power BI

Philip Morris International; Kraków; On-site; PLN 180,000 - 280,000; Full time

Job summary

Philip Morris International in Kraków is seeking a Senior Finance Data Scientist to join our finance analytics team. You will design, develop and maintain ML-driven finance reporting solutions that translate complex analytics into clear, trusted insights for business stakeholders.

You will work on production-grade ML pipelines and Power BI dashboards, collaborating with Finance, Reporting and Analytics across regions to ensure reliable, explainable analytics and data-backed decision-making.

Qualifications

• Degree in Data Science, Applied Mathematics, Finance or related field.
• 4+ years in Data Science and Advanced Analytics.
• Experience with time-series forecasting and Gen AI use-cases.
• Strong Python and SQL, Git, and testing practices.
• Solid statistics, probability, and data science methods.
• Experience with large data wrangling and Pandas/Numpy.

Responsibilities

• Design, develop and maintain ML-powered finance reporting solutions.
• Build and communicate insights to finance stakeholders.
• Maintain Power BI dashboards powered by ML outputs.
• Collaborate with Finance, Reporting and Analytics teams.
• Develop automated ML pipelines with monitoring and retraining.
• Work across global teams to ensure data quality.

Skills

Data Science

Time-series forecasting

Gen AI

Python programming

SQL

Statistics

Data wrangling

Model deployment

Communication

Education

Degree in Data Science/Applied Mathematics/Finance

Tools

Power BI

Snowflake

SageMaker

Git

CI/CD

Job description

Philip Morris International in Kraków is seeking a Senior Finance Data Scientist to join our finance analytics team. You will design, develop and maintain ML-driven finance reporting solutions that translate complex analytics into clear, trusted insights for business stakeholders.

You will work on production-grade ML pipelines and Power BI dashboards, collaborating with Finance, Reporting and Analytics across regions to ensure reliable, explainable analytics and data-backed decision-making.