Climate Catastrophe Science Intern – Summer 2026 at Mercury… · Remote

Summary: Mercury Insurance is seeking curious and passionate students for a fully remote summer internship program in Climate & Catastrophe Science. Interns will work alongside professionals to find data-driven solutions to complex problems related to natural hazards, contributing to research initiatives and model development. Responsibilities: - Utilizes analytical tools (e.g., Python, R, SQL, SAS or equivalent) to extract, prepare, and analyze structured and unstructured data in support of climate and catastrophe risk research - Assists with exploratory and predictive modeling projects (e.g., hazard, exposure, vulnerability, mitigation) under supervision; helps evaluate model performance, segmentation, and loss impacts - Performs targeted literature and data research on external sources (e.g., academic studies, industry consortia, public datasets) and summarizes findings relevant to Mercury’s climate and catastrophe modeling roadmap - Helps connect external research and datasets to Mercury’s internal modeling framework by documenting data structures, use cases, and potential integration opportunities - Prepares clear reports, visualizations, and presentations to communicate methods, findings, and recommendations to technical and non technical stakeholders - Over the course of the summer, the intern will contribute to a minimum viable product (MVP)—such as a prototype analysis, tool, dataset, or research framework—and will have a capstone opportunity to present their work to the Mercury leadership team 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, Environmental Science, Economics/Finance) - Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required - Ability to work 40 hours a week, 12-week internship, that aligns with Mercury's internship program - Enrolled student attending a university program with an expected graduation date that falls within Mercury's expected hiring window - Minimum 3.0 GPA required - 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 - 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 - Proficient in Microsoft Office Suite Preferred Qualifications: - 3.5 or higher GPA preferred - Familiarity with modeling concepts such as GLMs, logistic regression, and gradient boosting algorithms - Insurance coursework/projects; exposure to pricing/research workflows - SAS familiarity, dashboarding tools (Power BI/Tableau), basic model validation techniques - 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 Required Skills: Python, R, SQL Important Skills: SAS, Data analysis, Modeling concepts Nice-to-Have Skills: Learning willingness, Microsoft Office 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