Lead Data Scientist, Commercialisation AI

HireLifeScience; København; On-site; DKK 786,000 - 1,081,000; Full time

Job summary

Lundbeck is seeking a Lead Data Scientist for Commercialisation AI to turn data and AI into measurable commercial impact. You will anchor and build AI/ML solutions that shape forecasting, causal inference and GenAI systems for global commercial decisions.

You will own projects from prototype to production alongside domain experts in GCX across affiliates worldwide. The role emphasizes deep expertise in one area with curiosity in others, and collaboration with a team building new commercial

Qualifications

• Several years of experience building, deploying or supporting data science, ML, AI models with real commercial data.
• Strong Python and SQL skills and solid software engineering practices.
• Experience with predictive models in a commercial/pharmaceutical setting.
• Clear communication with technical and non-technical stakeholders.

Responsibilities

• Translate commercial questions into data science and ML solutions that ship.
• Develop segmentation, targeting, propensity and causal inference models.
• Build GenAI applications end to end, including RAG pipelines and agents.
• Work with diverse data sources and productionize models.
• Evaluate models with appropriate metrics and explain trade-offs to stakeholders.
• Design models with production readiness in mind.

Skills

Python

SQL

MLOps

GenAI engineering

Communications

Education

MSc/PhD or equivalent

Tools

Cursor

GitHub Copilot

Job description

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.

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

#EveryBrainInTheGame

About Lundbeck

At Lundbeck, our most important contribution is easing the burden of the millions of people living with brain disorders. Whether it is migraine, depression, or other brain disorders, patients, their carers, and society as a whole depend on us.

Through cutting edge science and strong partnerships, we develop and market some of the world's leading treatments, expanding into neuro-specialty and neuro-rare from our strong legacy within psychiatry and neurology.

The brain health challenge is real. Our commitment is real. Our impact is real.

About Lundbeck

At Lundbeck, our most important contribution is easing the burden of the millions of people living with brain disorders. Whether it is migraine, depression, or other brain disorders, patients, their carers, and society as a whole depend on us.

Through cutting edge science and strong partnerships, we develop and market some of the world's leading treatments, expanding into neuro-specialty and neuro-rare from our strong legacy within psychiatry and neurology.

The brain health challenge is real. Our commitment is real. Our impact is real.