R&D Intern - Summer 2026 at Mercury Insurance in Remote

Summary: Mercury Insurance is offering a summer internship program for students in quantitative fields. Interns will support research initiatives and pricing strategy development while gaining practical experience in the insurance industry. 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, Predictive modeling, Data manipulation, analysis, Generalized linear models (GLMs), Logistic regression, Gradient boosting algorithms, Insurance pricing, Dashboarding tools, Power BI, Tableau, Microsoft Office, Willingness to learn Internship Start Date: Start in 2026 Summer Benefits: Competitive salary, Bonus potential, Variety of benefits to help our team members reach their health, retirement, and professional goals