What is a Data Scientist at Milliman?
A Data Scientist at Milliman occupies a highly specialized and impactful position at the intersection of advanced analytics, actuarial science, and business consulting. As one of the world's largest providers of actuarial and related products and services, Milliman relies on its data science teams to build the predictive models and analytical tools that drive massive decisions in healthcare, insurance, and financial risk management. In this role, you do not write code in a vacuum; your models directly influence healthcare policy, insurance pricing, and risk mitigation strategies for global clients.
The work of a Data Scientist here is deeply consultative. You will frequently translate complex statistical outputs into actionable business strategies for non-technical stakeholders and clients. This requires not only technical excellence but also a strong grasp of industry-specific data structures, particularly healthcare claims, pharmacy data, and risk adjustment frameworks. Whether you are developing interactive applications using R Shiny to help clients visualize risk or optimizing large-scale data pipelines, your contributions will have a direct, measurable impact on the business.
Joining Milliman means stepping into an intellectually rigorous environment where autonomy and entrepreneurial thinking are highly valued. Because the firm operates under a decentralized structure, individual teams have significant freedom to choose their tech stacks and methodologies. This setup offers an exciting opportunity for self-motivated data scientists who want to own their projects from end to end, from initial data ingestion and modeling to final client presentation.




