Senior Data Scientist – Commercial Data Products & AI

EPAM Systems; Denmark; Hybrid; DKK 600,000 - 1,000,000; Full time

Job summary

EPAM Systems Inc in Copenhagen is seeking a Data Scientist for a hybrid role to develop commercial data products for enterprise CDP teams, leveraging AI-enabled engineering and cloud-based labs (Snowflake). You will use Dataiku, Snowflake, and Power BI to optimize core commercial operations and pre-call intelligence.

You will collaborate with engineering and product teams to deliver scalable solutions that improve productivity and quality while reducing long-term costs, anchoring you in a

Qualifications

• At least 5 years experience as a Data Scientist in a Commercial Enterprise context.
• Hands-on ML model building and deployment in Dataiku (or similar).
• Strong Python and SQL
• Solid grounding in statistics and ML fundamentals
• Comfortable in governed enterprise environments
• Healthcare, claims, HCP, support-program, or CRM data experience (preferred)
• Life sciences / pharma commercial analytics background (preferred)

Responsibilities

• Design, build, and validate ML models for Commercial Optimization and Pre-Call Intelligence use cases
• 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

Python

SQL

Statistics

ML fundamentals

Model deployment

Tools

Dataiku

Snowflake

Power BI

Job description

EPAM Systems Inc in Copenhagen is seeking a Data Scientist for a hybrid role to develop commercial data products for enterprise CDP teams, leveraging AI-enabled engineering and cloud-based labs (Snowflake). You will use Dataiku, Snowflake, and Power BI to optimize core commercial operations and pre-call intelligence.

You will collaborate with engineering and product teams to deliver scalable solutions that improve productivity and quality while reducing long-term costs, anchoring you in a