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 - 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)