[Hiring] R&D Intern @Mercury Insurance Services

Role Description

We are seeking curious, passionate, and hard-working students from quantitative academic fields to participate in our fully remote summer internship program. The program will be highly collaborative and immersive, with interns working on real business problems that can span multiple business units within the complex insurance landscape.

Responsibilities include:

• Supporting research initiatives and pricing strategy development for Mercury’s insurance offerings within a designated business line.
• Preparing and engineering data, conducting exploratory analyses, and assisting with modeling and segmentation efforts to enhance pricing precision and product differentiation.
• Utilizing 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.
• Assisting in predictive modeling projects and analyzing product performance under supervision and guidance.
• Testing new rating models to determine accuracy of prediction, loss ratio improvement and segmentation.
• Performing primary field research, including customer, distribution, competitor and insurance department under supervision and guidance.
• Preparing reports, graphs, charts and presentations based on research and analysis.
• Building a minimum viable product (MVP) and presenting findings to the Mercury leadership team.
• Other functions may be assigned.

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.

Requirements

• 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.

Physical Requirements

• Required job duties are essentially sedentary in nature, consisting of occasional walking, standing, lifting and/or carrying ten pounds maximum.

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.

Company Description

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.