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

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

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• 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

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• 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)