Commercial Data Scientist – ML & Dataiku in Enterprise Ops

EPAM Systems; København; Hybrid; DKK 700,000 - 1,000,000; Full time

Job summary

EPAM Systems, Inc. in Copenhagen is seeking a Data Scientist to drive commercial data products within an enterprise CDP context.

This hybrid role combines AI-enabled engineering with cloud-based innovation labs (Snowflake). You will design, build, and validate ML models for Commercial Optimization and Pre-Call Intelligence, leverage Dataiku/Snowflake, and translate outputs into business-ready insights for stakeholders.

Qualifications

• 5+ years experience as a Data Scientist in an enterprise context.
• Hands-on ML model building and deployment in Dataiku (or similar).
• Strong Python and SQL skills.
• Solid grounding in statistics and ML fundamentals.
• Healthcare, claims, HCP, or CRM data experience preferred.

Responsibilities

• Design, build, and validate ML models for Commercial Optimization and Pre-Call Intelligence.
• Consume features from the Feature Store (Dataiku/Snowflake); flag gaps back to Data Engineering.
• Perform exploratory data analysis, feature selection, and model experimentation in Dataiku.
• Train, tune, and evaluate models.
• Deploy and monitor models in production via Dataiku.
• Translate model outputs into business-ready insights with product and commercial stakeholders.
• Collaborate with Data Engineering, product, and delivery teams.

Skills

Data Science

Python

SQL

ML deployment

EDA

Tools

Dataiku

Snowflake

Power BI

Job description

EPAM Systems, Inc. in Copenhagen is seeking a Data Scientist to drive commercial data products within an enterprise CDP context.

This hybrid role combines AI-enabled engineering with cloud-based innovation labs (Snowflake). You will design, build, and validate ML models for Commercial Optimization and Pre-Call Intelligence, leverage Dataiku/Snowflake, and translate outputs into business-ready insights for stakeholders.