Data Scientist - Commercial Data Products (Optimization & Pre-Call Intelligence)

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

You will drive the development of commercial data products for enterprise CDP teams, leveraging AI-enabled engineering excellence and cloud-based innovation labs (Snowflake). In this hybrid role based in Copenhagen, 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. This position anchors you in a managed delivery and optimization program, combining technical depth and cross-team partnership.ResponsibilitiesDesign, build, and validate ML models for Commercial Optimization and Pre-Call Intelligence use casesConsume features from the Feature Store (Dataiku/Snowflake); flag gaps back to Data EngineeringPerform exploratory data analysis, feature selection, and model experimentation in DataikuTrain, tune, and evaluate modelsDeploy and monitor models in production via DataikuTranslate model outputs into business-ready insights with product and commercial stakeholdersCollaborate with Data Engineering, product, and delivery teamsRequirementsAt least 5 years experience as a Data Scientist in a Commercial Enterprise contextHands-on ML model building and deployment in Dataiku (or similar)Strong Python and SQLSolid grounding in statistics and ML fundamentalsComfortable in governed enterprise environmentsHealthcare, claims, HCP, support-program, or CRM data experience (preferred)Life sciences / pharma commercial analytics background (preferred)