Actuarial Analyst - IntelliScript; Remote

Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category‑defining, data‑driven, software‑as‑a‑service (SaaS) products for a broad spectrum of insurance clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world.

Our team is smart, down‑to‑earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Milliman invests in skills training and career development, and its Employee Resource Groups influence policy decisions, develop future leaders, and amplify voices. We encourage employees to give back to their professions, including leadership in professional organizations.

The Analyst will support research and analytical initiatives that drive enhancements to the Irix product suite. This role partners closely with internal stakeholders and external collaborators—clients, data providers, and reinsurers—to contribute to the development of insights and product improvements. Responsibilities include assisting in the design and execution of mortality studies, analyzing results, and translating findings into clear, actionable recommendations.

The Analyst will also contribute to the development of foundational analytical assets and support innovation efforts that power Irix. This includes working with industry‑leading mortality data, supporting study development and application, and collaborating across teams to inform product strategy and advance analytical capabilities.

• Support the Irix product research pipeline by gathering market feedback, contributing to research scoping, and assisting in prioritization efforts
• Perform hands‑on analysis to support mortality studies, product enhancements, and research initiatives
• Contribute to the development, maintenance, and delivery of mortality study outputs, including reports, dashboards, databases, and tools
• Translate research findings into clear insights and actionable recommendations in partnership with product, software development, and other technical teams
• Collaborate with cross‑functional teams, including Data Science and product teams, to support model development, feature ideation, and performance monitoring
• Assist in evaluating and communicating the value of new and existing products through analysis and client‑facing deliverables
• Create clear, high‑quality documentation and support standards for transparency, quality, and reproducibility
• Partner with internal and external stakeholders to deliver insights and materials that meet client needs and highlight product value
• Support the creation of thought leadership materials, including presentations, webinars, and white papers
• Contribute to experimentation and prototyping efforts by analyzing results and helping iterate on ideas quickly
• Assist in developing internal tools and resources to improve product and research efficiency
• Present findings and insights to stakeholders to support awareness and decision‑making
• Ensure compliance with data governance standards and secure handling of data assets

• Bachelor's degree in actuarial science, mathematics, or another quantitative field
• 1+ year(s) of experience in analytics, actuarial science, data science, or product R&D
• Experience working with prescription and medical claims data
• Understanding of underwriting principles and key drivers of mortality and morbidity risk
• Strong analytical and critical thinking skills, with the ability to connect detailed analysis to broader business objectives
• Ability to collaborate effectively across cross‑functional teams and contribute to shared initiatives
• Strong written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences
• Proficiency in SQL and Microsoft Excel; experience with Power BI or similar data visualization tools
• Familiarity with programming and data tools such as R, Python, Databricks, Jira, and Confluence

• Generate new approaches to problems or innovations to…