Data/ML Engineer

Data/ML Engineer

Be part of building the data foundation for the key commercial strategic AI use cases, then take ownership of the MLOps infrastructure that gets our models into production. This is a chance to set the technical standard for the data and ML infrastructure at Lundbeck.

Your new role

You'll join our newly established data, insights and AI team in GCX. In your first phase, the priority is data engineering: building ingestion and integration across fragmented commercial data sources, standardizing definitions, and creating the shared data foundation the rest of the team builds on. As models move from prototype to production, your focus expands into MLOps: pipelines, deployment, monitoring and reliability for the models.

Your responsibilities will include

Data engineering (near term focus)

• Building and maintaining data pipelines that ingest and integrate data from systems such as Veeva, Marketing Cloud, Snowflake and other commercial systems • Designing a shared taxonomy and data model across fragmented, non standardized sources so the team is working from a common foundation • Ensuring data quality, consistency and reliability for analytics, ML and GenAI use cases • Partnering with Data Scientist(s) and GenAI Engineer to unblock their work with clean, well structured, accessible data • Partnering with BI so descriptive reporting and predictive pipelines draw from the same reliable foundation rather than duplicating effort

MLOps (growing focus as the…