Job Summary

Salary Range:: kr.600.000 - kr.1.000.kr.000
Work Settings:: Hybrid

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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)

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EPAM Systems

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

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EPAM Systems