Lead Data Scientist Full-time

Lead Data Scientist

As Lead Data Scientist, you will set the technical direction for AI, Data Science, and machine learning that enables our supply chain processes to become more autonomous and data driven. You will build forecasting, optimization, and GenAI use cases end-to-end with a delivery team and take them into production, helping move us towards better network optimization and no-touch planning. Your work will strengthen the real operational decisions that help high-quality medicines reach the millions of people living with serious chronic diseases.

What you'll bring:

• Several years of experience developing and deploying data science, machine learning, or AI models using real business data.
• Strong Python and SQL skills, with a solid understanding of model validation, interpretation, uncertainty, and business impact.
• Hands-on experience with Databricks, Unity Catalog, and data pipelines, including data organized in a medallion architecture.
• Experience working in a CI/CD setup and writing reusable, testable, and documented code.
• An understanding of reliability, monitoring, versioning, security, access control, and maintainability of AI applications.
• Knowledge of LLM evaluation, guardrails, and observability, for example, using tools such as Langfuse or Grafana.
• The ability to work independently with both technical teams and business stakeholders, and to explain complex findings clearly.
• An MSc, PhD, or equivalent practical experience in a relevant quantitative field.
• Useful, but not essential: Experience from pharma, life sciences, or supply chain.

What you'll do:

• You will be both advisor and hands-on builder: shaping which problems are worth solving, then building what solves them in production.
• Partner with Supply Chain stakeholders and delivery team to scope business problems, choose the right methods, and define how success will be measured.
• Set the data science direction across the use case portfolio, shape solution architecture with the Tech Lead, coach junior data scientists, and review work delivered by external vendors.
• Develop statistical, machine learning, and AI models for forecasting, network optimization, recommendations, and workflow automation – including RAG applications, assistants, and agentic workflows where the use case calls for them.
• Build data and model pipelines in Databricks, using Unity Catalog for data governance and a medallion architecture to organize data.
• Take models into production through GitHub Actions CI/CD pipelines, with automated testing, experiment tracking, model registries, documentation, and ongoing monitoring – applying the right validation, traceability, access control, and change control along the way.
• Evaluate technical performance and business impact, be clear about uncertainty and limitations, and work with AI Engineers to integrate what you build into products and operational workflows.

Who you'll work with:

You will join Supply Chain AI Solutions, a small, end-to-end team within Enterprise AI, part of Enterprise IT & Quality – where colleagues work across the Novo value chain, close to the stakeholders they support. In your team, data scientists, and engineers work side by side, combining analytical depth with the engineering capability needed to get models into production. You will work closely with the Tech Lead, AI Engineers, and junior data scientists, and embed directly with Supply Chain domain experts and colleagues in the commercial organization – so ideas move quickly from problem to working tool. The team is cloud-native, using Databricks, Azure, and AWS, and values agility, diverse thinking, continuous learning, and practical work that improves real operational decisions.

What you can expect here:

You will be trusted to set direction and make your voice heard, in a team culture built on feedback, honesty, and fun. You will work at the forefront of AI and technology at Novo, at a time when we are upskilling our entire workforce to advance AI as a main driver for innovation for people living with serious chronic diseases. You can expect continuous learning, career development, and benefits tailored to your life and career stage. Annual base salary ranges from 742,600 to 1,091,600 DKK, corresponding to the level of the position. Placement within the range will be assessed during recruitment based on skills, competencies, knowledge, and relevant experience. The salary package may include short- and/or long-term incentives and other employee benefits based on position level, location, functional area, and relevant market benchmarks.