Lead Data Scientist, Commercialisation AI (Copenhagen, Danish Capital Region, DK)

Lead Data Scientist, Commercialisation AI   

Looking to turn data and AI into real commercial impact? Join us to build the solutions shaping how Lundbeck makes commercial decisions.

You will be the technical anchor and hands-on builder for AI/ML solutions that shape commercial decisions at Lundbeck: from forecasting and causal inference to GenAI assistants and agentic workflows. If you like taking a model from prototype to production and working shoulder to shoulder with the people who use it, read on.

You’ll join our newly established Data, Insights and AI team in Global Customer Experience (GCX), helping build and scale advanced analytics, ML and AI across the commercial organisation. As Lead Data Scientist, you’ll design and build end-to-end solutions, including econometric forecasting, causal inference and GenAI systems such as RAG, assistants and agentic workflows, and own them through to production, embedded directly with the domain experts who will use them across global functions and our affiliates around the world.

Your responsibilities will include  

Translating commercial questions into data science and ML solutions that ship

Developing  segmentation , targeting, propensity and causal inference models for commercial use cases, for example owning the predictive models behind new market launches and building the segmentation and look-alike models that tell sales representatives which HCPs and institutions to prioritise

Building GenAI applications end to end, including RAG pipelines, assistants, agentic  solutions and workflow automation

Working with siloed,  fragmented or entirely new data

Evaluating models using the right statistical, ML and business metrics, and explaining assumptions,  uncertainty and trade-offs to non-technical stakeholders

Designing models with production readiness in mind

Scoping ambiguous commercial problems independently and helping set the standard for how the team approaches decision science and  productionisation

You don’t need to be equally expert in classical data science and GenAI. We’re looking for real depth in one, genuine curiosity for the other and a willingness to build across both.

Your new team  

You’ll join GCX’s newly established Data, Insights and AI team, responsible for establishing a new commercialisation intelligence layer and for building competitively differentiating predictive intelligence loops. We stay close to the business to make sure what we build gets used. The team is young enough that you’ll help shape its culture and ways of working. This is a build-from-scratch opportunity, not a seat on an established team.

Your skills and qualifications  

We are looking for deep expertise in one or more of the following: statistics, econometrics, forecasting, causal inference, segmentation or applied/commercial ML; model production and MLOps; or GenAI engineering, including LLM applications, RAG and agents.

You will bring  

Several years of experience building, deploying or supporting data science, ML, statistical or AI models using real commercial or business data

Strong Python and SQL skills, solid engineering practice including Git, documentation, tested and reusable code, and a strong grasp of model validation,  interpretation and business impact

Experience with predictive models in a commercial or pharmaceutical setting

Clear communication with technical and non-technical stakeholders, and genuine interest in the commercial problem, not only the model

Comfort with AI-assisted development tooling such as Cursor or GitHub Copilot

An MSc, PhD or equivalent practical experience in statistics, econometrics, data science, mathematics, computer science,  engineering or a related quantitative field

Depending on your strengths, you will also bring depth in several of  

Practical MLOps , including CI/CD for models, model registries, experiment tracking and model monitoring

Hands-on GenAI, including LLM applications, embeddings, vector search, retrieval, evaluation, prompt engineering,  agents and workflow solutions

APIs and backend development,  testing and CI/CD

Experience taking analytical and AI solutions into production using modern  MLOps and DataOps practices, including version control, automated testing, deployment and monitoring.

It is an advantage if you bring  

A track record of taking classical models or AI applications into production, with strong understanding of reliability, monitoring, versioning, security, access control and maintainability

Experience with LLM evaluation, prompt and version management,  guardrails and observability, and with monitoring quality, latency, reliability and cost

Experience from pharmaceuticals, healthcare, life sciences, commercial  analytics or consumer behavior

Our promise to you   

Lundbeck offers an inspiring workplace and innovative culture, where our curiosity, accountability and adaptability enable us to transform lives. We want to go faster and further on addressing the big unmet needs of people living with brain disorders. We offer rewarding careers with a mix of exciting tasks and development opportunities that are balanced with initiatives focused on your well-being.

We need every brain in the game, and at Lundbeck, we are committed to building a workforce that is as diverse as the people we serve. Read more about our commitment at www.lundbeck.com/global/about-us/our-commitment/diversity-and-inclusion .

Annual base salary range:  786 000 - 1 081 300   DKK gross

At Lundbeck, we are committed to fair and transparent pay. Please note that the final base salary within the stated range will be based on relevant qualifications, skills, competencies, and level of proficiency as well as internal pay equity.

Apply now  

Upload your CV and include a few lines about your motivation for applying. We ask you not to include a photo or personal information that does not relate to your professional experience.

If you have questions, please contact Frederikke Bruhn Sørensen, Director Data, Insights and AI Solutions at feor@lundbeck.com.

Applications must be received by 16 October 2026.  

Learn more about us at www.lundbeck.com , LinkedIn or Instagram (@h_lundbeck).

#EveryBrainInTheGame

This job ad is intended for individuals seeking a career opportunity with Lundbeck. We engage with recruitment and search firms where needed on the basis of a written agreement, and we do not accept unsolicited requests of any kind. If you work as a recruitment consultant, you are kindly instructed to refrain from contacting Lundbeck or the hiring manager directly with suggested candidates. If you violate this policy, you do so at your own risk and for your own account, and Lundbeck will not assume any liability nor pay any associated fees resulting from such violation.

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