Milliman is looking to solve complex insurance problems, including modernizing flood insurance and addressing wildfire risk, by leveraging data science and actuarial expertise.
Requirements
- Advanced programming experience in SAS, R, or Python for data manipulation, analytics, and modeling
- Substantial expertise with MS Excel, PowerPoint, Teams, Outlook, and Word
- Understanding of relational database concepts
- Strong understanding of climate data sets, geographic information systems (GIS), statistics, regression models, and insurance analytics
- Experience with data visualization tools such as PowerBI, Tableau
- Completed Bachelor’s degree or higher, including quantitative coursework in data science, data engineering, mathematics, statistics, computer science, etc.
- At least one year of relevant professional experience with demonstrable quantitative and data-driven work
Responsibilities
- Manipulate, summarize, and validate large datasets for accuracy and consistency using statistical programming languages
- Build risk scores using geospatial, climate, and other contextual data
- Develop predictive models using linear and non-linear methods
- Contribute to ETL processes in support of client engagements, product development, and internal research
- Participate in checking and peer review of the work product of other data scientists and analysts
- Assist peers and project managers in scoping out new projects or opportunities
- Draft clear, professional reports and exhibits for internal and external audiences
Other
- Completed Bachelor’s degree or higher
- At least one year of relevant professional experience
- Able and willing to obtain and maintain a U.S. Government-issued Public Trust security clearance
- Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman
- Occasional work-related travel may be required
