Senior Data Scientist — AI for Autonomous Supply Chain

Novo Nordisk A/S; Ballerup; Remote; DKK 743,000 - 1,092,000; Full time

Job summary

Novo Nordisk A/S is seeking a Lead Data Scientist to set the technical direction for AI, data science, and ML that drives autonomous, data-driven supply chain decisions. You will build forecasting, optimization and GenAI use cases end-to-end with a delivery team and take them into production to improve network efficiency and no-touch planning.

The role requires strong Python/SQL skills, experience with Databricks, Unity Catalog, CI/CD, and a track record of delivering AI solutions in production.

Qualifications

• 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 organised 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.

Responsibilities

• 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 optimisation, 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 organise 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.

Skills

Python

SQL

Databricks

CI/CD

Langfuse or Grafana

LLM evaluation & observability

Stakeholder communication

Data pipelines

MLOps familiarity

Education

MSc or PhD in a quantitative field

Tools

GitHub Actions

Langfuse

Grafana

Azure

AWS

Job description

Novo Nordisk A/S is seeking a Lead Data Scientist to set the technical direction for AI, data science, and ML that drives autonomous, data-driven supply chain decisions. You will build forecasting, optimization and GenAI use cases end-to-end with a delivery team and take them into production to improve network efficiency and no-touch planning.

The role requires strong Python/SQL skills, experience with Databricks, Unity Catalog, CI/CD, and a track record of delivering AI solutions in production.