Mercury Insurance→
R&D Intern - Summer 2026 at Mercury Insurance in Remote
InternshipRemoteFull-timeRemote$62k–$62k/yr
Skills
pythonrsqlsasdata manipulationdata analysispredictive modelinggeneralized linear models (glms)logistic regressiongradient boosting algorithmsinsurance pricingmodel validation techniquesmicrosoft office suite
Job Description
Summary: Mercury Insurance is offering a summer internship program designed for students to gain practical work experience in the insurance field. The R&D Intern will support research initiatives and pricing strategy development, engaging in data analysis and collaborative projects while presenting findings to leadership at the end of the internship.
Responsibilities:
- Utilizes Python/R/SQL/SAS or other software to extract, manipulate and analyze large sets of data in order to recommend improvements in our product pricing
- Assists in predictive modeling projects and analyzing product performance under supervision and guidance; Tests new rating models to determine
- Accuracy of prediction, loss ratio improvement and segmentation
- Performs primary field research, including customer, distribution, competitor and insurance department under supervision and guidance
- Prepares reports, graphs, charts and presentations based on research and analysis
- Over the course of the summer, interns will ultimately build a minimum viable product (MVP) and have a “capstone” opportunity to present those findings to the Mercury leadership team
- Other functions may be assigned
Required Qualifications:
- Be legally eligible to work in the U.S
- Currently pursuing a BS/BA/MS in a quantitative field (Statistics, Mathematics, Data Science, Engineering, Actuarial Science, Economics/Finance)
- Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher preferred
- Ability to work 40 hours a week, 12-week internship, beginning in June 2026
- Enrolled student attending a university program with an expected graduation date on or after August 2025
- Planning to seek full-time employment between December 2026 and September 2027
Preferred Qualifications:
- Solid track record of academic excellence
- Strong commitment to teamwork, learning and collaboration
- Academic or project experience in data manipulation and analysis using tools such as Python, R, SQL, SAS or equivalent
- Familiarity with modeling concepts such as GLMs, logistic regression, and gradient boosting algorithms
- Insurance coursework/projects; exposure to pricing/research workflows
- Excellent verbal and written communication
- Ability to manipulate and analyze data to address and solve business problems
- Willingness to independently learn and make an impact within a team environment
- Working knowledge of SQL and one language (Python or R); clear communication
- SAS familiarity, dashboarding tools (Power BI/Tableau), basic model validation techniques
- Proficient in Microsoft Office Suite
Required Skills: Python, R, SQL, SAS, Data Manipulation, Data Analysis, Predictive Modeling, Generalized Linear Models (GLMs), Logistic Regression, Gradient Boosting Algorithms, Insurance Pricing, Model Validation Techniques, Microsoft Office Suite
Internship Start Date: Start in 2026 Summer
Benefits: Obtain practical work experience in your field of interest, Network with other interns and industry professionals, Receive personalized coaching and mentorship, Work on real projects and initiatives, Earn a competitive wage
Benefits
Obtain practical work experience in your field of interest
Network with other interns and industry professionals
Receive personalized coaching and mentorship
Work on real projects and initiatives
Earn a competitive wage