[Hiring] R&D Intern @Mercury Insurance Services, LLC

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.

But it won’t be all work! Mercury executives will host virtual lunch-and-learns with a small group of interns to discuss career aspirations, interns will get to meet Mercury people leaders and team members throughout the organization, and there will be a multitude of virtual social events.

Responsibilities

• Support research initiatives and pricing strategy development for Mercury’s insurance offerings within a designated business line.
• Prepare and engineer data, conduct exploratory analyses, and assist with modeling and segmentation efforts to enhance pricing precision and product differentiation.
• Utilize Python/R/SQL/SAS or other software to extract, manipulate and analyze large sets of data to recommend improvements in product pricing.
• Assist in predictive modeling projects and analyze product performance under supervision and guidance.
• Test new rating models to determine accuracy of prediction, loss ratio improvement, and segmentation.
• Perform primary field research, including customer, distribution, competitor, and insurance department under supervision and guidance.
• Prepare reports, graphs, charts, and presentations based on research and analysis.
• Build a minimum viable product (MVP) and present findings to the Mercury leadership team as a capstone project.
• 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, with a minimum of 3.0 GPA required (3.5 or higher preferred).
• Ability to work 40 hours a week for a 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 Experience

• 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.

Preferred Skills & Abilities

• 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.

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

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.