Lead Data Scientist, Commercialisation AI

Lundbeck; København; Sur place; DKK 786 000 - 1 081 000; Plein temps

Résumé du poste

Lundbeck in Copenhagen is seeking a Lead Data Scientist to turn data, analytics and GenAI into commercial impact. You will design end-to-end ML and econometric models, deploy them with production readiness, and work directly with domain experts across global functions.

You’ll own the development of segmentation, forecasting and GenAI workflows, quantify business value, communicate trade-offs to stakeholders, and help scale analytics across the commercial organisation.

Qualifications

• Several years of experience building, deploying or supporting data science, ML, statistical or AI models.
• Strong Python and SQL skills with Git, documented and reusable code.
• Experience with predictive models in a pharmaceutical/commercial setting.
• Clear communication with technical and non-technical stakeholders.
• MSc, PhD or equivalent practical experience in statistics, econometrics, data science, mathematics, computer science, engineering or a related quantitative field.

Responsabilités

• Translate commercial questions into data science and ML solutions that ship.
• Develop segmentation, targeting, propensity and causal inference models for commercial use cases.
• Build GenAI applications end to end, including RAG pipelines, assistants and agentic workflows.
• Work with siloed, fragmented or new data to unlock value.
• Evaluate models using robust metrics and explain trade-offs to stakeholders.
• Design models with production readiness in mind.
• Scope ambiguous commercial problems and set the standard for productionisation.

Connaissances

Python

SQL

MLOps

GenAI

Communications

Formation

MSc/PhD in quantitative field

Outils

Git

Cursor

GitHub Copilot

Embedding/Vector search

Description du poste

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

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

Your new team

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 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).