
1001 - 5000 employees
Founded 1947
🤝 B2B
⚕️ Healthcare Insurance
💸 Finance
B2B • Healthcare Insurance • Finance
Milliman is an independent global actuarial and consulting firm founded in 1947 that provides expertise in insurance, healthcare, retirement and employee benefits, risk management, and related financial services. The firm combines actuarial rigor, data science, and technology to deliver consulting, modeling, software, and advisory solutions to public- and private-sector clients addressing challenges such as healthcare costs, market volatility, climate risk, and program design. Milliman operates worldwide with multidisciplinary teams including actuaries, data scientists, clinicians, and software engineers.
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1001 - 5000 employees
Founded 1947
🤝 B2B
⚕️ Healthcare Insurance
💸 Finance
B2B • Healthcare Insurance • Finance
Milliman is an independent global actuarial and consulting firm founded in 1947 that provides expertise in insurance, healthcare, retirement and employee benefits, risk management, and related financial services. The firm combines actuarial rigor, data science, and technology to deliver consulting, modeling, software, and advisory solutions to public- and private-sector clients addressing challenges such as healthcare costs, market volatility, climate risk, and program design. Milliman operates worldwide with multidisciplinary teams including actuaries, data scientists, clinicians, and software engineers.
• Support practices in responding to increasing client demand for AI transformation capabilities. • Translate client strategic priorities, target operating model, and workflow pain points into actionable AI transformation roadmaps. • Help clients move beyond isolated AI pilots by connecting AI use cases to measurable business value. • Map current-state insurance workflows, decision processes, handoffs, controls, data flows, and pain points. • Redesign target workflows around AI-enabled delivery. • Co-design practical AI-enabled solutions with business experts, AI engineers, and product owners.
• Bachelor’s or Master’s degree in Actuarial Science, Engineering, Computer Science, Applied Mathematics, Data Science, Business, Finance, Insurance, or a related quantitative or business field. • 6–8 years of relevant professional experience in insurance, actuarial consulting, business transformation, operations, data management, technology-enabled consulting, or related fields. • Experience supporting business development, proposal writing, client workshops, solution scoping, or transformation roadmap development. • Excellent communication and stakeholder management skills, with the ability to bridge senior business leaders, subject matter experts, AI engineers, Technology teams, and client delivery teams. • Entrepreneurial mindset, structured problem-solving, commercial awareness, and willingness to build a new capability within a fast-evolving AI Solutions practice.
• 401(k) matching • Flexible working hours • Paid time off • Professional development opportunities
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