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ACO utilization & cost evaluation
Healthcare cost modeling
Insurance risk assessment
Medicare plan selection solution
Healthcare risk adjustment
Pharmaceutical claims analytics
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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
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Data-driven insight. Deep expertise. Transformative innovation. Since 1947, Milliman has delivered intelligent solutions to improve health and financial security.
Raymond Van Es is a principal in the Amsterdam office and practice lead for Data Science & AI. He joined Milliman in 2020, along with his data science team, to build and strengthen the Data Science & AI business. Raymond is responsible for business development activities and data-related client projects.
Trained in aerospace technology at the University of Technology in Delft, Raymond worked for five years in the aerospace industry and two years in the rubber industry. After graduating with his MBA at IMD in Lausanne (Switzerland), he started working at AEGON, a global insurance company, where he held several senior management positions in marketing, sales, and innovation. He also held several board member positions in start-up companies. In 2014, he cofounded two award-winning companies in car insurance and telematics. In 2016, he cofounded a data science consultancy company. In 2020, he moved with his team to Milliman where he supports clients in becoming more data driven and to generate business value by applying machine learning techniques.