Actuarial Analytics Intern - Summer 2027

National Life Group - Interns; Addison, Montpelier (TX, VT); On-site; USD 26,000 - 39,000; Part time

Job summary

National Life Group’s Summer Internship Program offers students exposure to critical business assignments with mentors. The internship is onsite four days a week on core days (Mon–Thu) with schedule flexibility by management.

Interns work on updating actuarial models, performing data queries, and using Alteryx and Tableau to analyze trends and summarize findings. A strong math and analytical background and SOA exam progress are preferred.

Qualifications

• Pursuing a Bachelor's Degree in Actuarial Science, Mathematics, Statistics, or related field.
• Preferably a Junior in College – Expected Date of Graduation – May 2026
• Passing score on at least 1 SOA actuarial exam.
• Strong mathematical and analytical aptitude. Ability to work accurately and in a timely manner
• Must have a proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint)
• Specific experience with database software (preferably SQL Server and/or Access)

Responsibilities

• Update actuarial models for either product development or valuation related work
• Perform queries in SQL or build macros in Excel to manipulate data
• Learn and leverage data analytics tools (Alteryx and Tableau) to investigate business trends and summarize findings
• Run reports, analyze trends, and detect patterns in results

Skills

Analytical thinking

Attention to detail

Teamwork

Education

Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field

Tools

SQL

Excel

SQL Server

Access

Alteryx

Tableau

Job description

National Life Group’s Summer Internship Program offers students exposure to critical business assignments with mentors. The internship is onsite four days a week on core days (Mon–Thu) with schedule flexibility by management.

Interns work on updating actuarial models, performing data queries, and using Alteryx and Tableau to analyze trends and summarize findings. A strong math and analytical background and SOA exam progress are preferred.