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

EPAM Systems; Denmark; On-site; 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

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.

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

Requirements

• 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)