2027 Summer Healthcare Data Analytics Actuarial Intern (Remote)

About the role

Support and perform actuarial analyses for various lines of business, including medical expense analyses and projections, health insurance market intelligence research and analyses, product pricing and state rate filing support, data, and actuarial modeling.

• Present statistical information to support actuarial, underwriting, and other business areas regarding the pricing of plans, product development, and marketing planning.
• Administer finalized policies; monitor results and provide feedback as needed.
• Collect and compile statistical data for additional analysis.
• Estimate the probability and cost of sickness, treatment, and medical services.
• Design, test, and administer policies to minimize risk and maximize the profitability of insurance policies; develop and produce charts and other exhibits to explain proposals and calculations.
• Identify trends and patterns in a variety of complex data sets.
• Program and develop pricing and statistical models, spreadsheets, and databases using analytical software.
• Explain complex ideas and technical data to different audiences.
• Identify a company’s risks and develop plans and recommendations to manage its risks; present findings to Actuarial management.
• Develop, maintain, and analyze projection models.
• Reconcile and analyze actuarial inputs and outputs.
• Collaborate with key leaders to identify and meet information needs.
• Establish actuarial, underwriting, or healthcare economics procedures and document them for internal use.
• Perform additional duties as directed.

Program Details

10-week paid internship program running from Monday, June 7, 2027 to Friday, August 13, 2027.

• Full-time: 40 hours per week
• Hourly rate: $30 per hour

Requirements

• Pursuing a bachelor’s degree in actuarial science, mathematics, statistics, computer science, other physical science, or related finance/business degree (Required)
• 0 – 1+ years of relevant, professional work experience and/or education (Required)
• Current 3rd year undergraduate (Preferred)
• Completion of at least one actuarial exam (Preferred)
• Understanding of actuarial principles and methodologies with strong mathematical and analytical skills (Required)
• Excellent written and verbal communication skills to deliver complex information to a diverse audience (Required)
• Capable with Excel, data extraction, automation (Required)
• Working knowledge of MS Office (Required)
• Exposure to SQL, SAS, Python, or similar (Preferred)