Navigate today’s most pressing health industry challenges with a leading global expert by your side.
ACO utilization & cost evaluation
Healthcare cost modeling
Insurance risk assessment
Medicare plan selection solution
Healthcare risk adjustment
Pharmaceutical claims analytics
Meet growing needs for innovative insurance solutions while increasing operational health and improving compliance.
Property & casualty advisory services
Modern flood insurance program
Investment, advisory & trading services
Financial modeling & industrialization
Geographic rating insights
Premium comparison platform
Retirement & Benefits
Deliver on the promises of the past and create smart solutions for the future.
Pension administration & communication
Retirement benefits administration platform
Compensations & benefits
Benefit plan evaluation
Health & welfare benefits administration platform
Manage complex risks using data-driven insights, advanced approaches, and deep industry experience.
Auto policy underwriting
Software performance enhancement
Mortgage platform for investments & reinsurance
Solvency II reporting & compliance
This is a place where your ideas and insights make an impact. Where an independent, entrepreneurial spirit is an advantage. And where diversity of thought and experience makes us who we are.
Data-driven insight. Deep expertise. Transformative innovation. Since 1947, Milliman has delivered intelligent solutions to improve health and financial security.
Joe Long is a senior actuarial data scientist with the Minneapolis office of Milliman. He joined the firm in 2013.
Joe specializes in the application of data science and machine learning within the actuarial setting, with an emphasis on health and long-term care. In addition to consulting for insurers and other risk-taking entities, this work includes assisting health, life, and long-term care actuaries developing products and tools that utilize predictive modeling.
Joe has developed models for predicting relative healthcare costs included in the Milliman Advanced Risk Adjusters™ (MARA™) and Milliman IntelliScript® software products. He is also a key team member pioneering Milliman’s research that applies predictive analytics to long-term care industry experience to develop first principle assumptions and claim cost guidelines. Joe routinely uses cloud computing resources to speed up computationally intensive modeling tasks.
More recently, Joe has been focused on developing custom MARA models for clients in other countries such as China and the Middle East, and for new populations in the United States. Recently, he developed a suite of custom models that were adopted by the State of Utah for Medicaid capitation rate setting.
A frequent speaker at industry meetings on machine learning topics, Joe is also experienced in communicating technical modeling concepts in plain language that non-experts can understand. He actively pursues ways to open the “black box” of advanced models so that the key drivers of predictions can be understood and validated by all stakeholders.
Joe manages a team of data scientists who perform research on emerging data sources, tools, and cloud technologies and frequently publishes articles on the findings and their applications.
Prior to joining the firm, Joe taught statistics while pursuing his master’s degree.