Mercury Insurance→
Climate Catastrophe Science Intern – Summer 2026 at Mercury… · Remote
InternshipRemoteFull-timeRemote$62k–$62k/yr
Skills
data manipulationpythonrsqlsasmodeling conceptspower bitableauindependent learning
Job Description
Summary: Mercury Insurance is seeking curious and passionate students for their fully remote summer internship program in Climate & Catastrophe Science. Interns will work on real business problems, support research initiatives, and develop models related to climate and catastrophe risks while collaborating with professionals across various business units.
Responsibilities:
- Under immediate supervision, the Climate & Catastrophe Science Intern will work alongside professionals and mentors within the Climate & Catastrophe Science organization to find smart, data driven solutions to complex problems
- The intern will support research initiatives and model development for Mercury’s portfolio of risk linked to natural hazards (e.g., wildfire, severe convective storms, hurricanes)
- Interns work directly with a mentor in their field of study, collaborate with stakeholders across Product, R&D, Pricing, Underwriting and Reinsurance, and gain exposure to team meetings and project discussions to help contextualize their work
- 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
- 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, 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
- 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
- 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
- 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
- Insurance coursework/projects; exposure to pricing/research workflows
- SAS familiarity, dashboarding tools (Power BI/Tableau), basic model validation techniques
Required Skills: Data manipulation, Python, R, SQL
Important Skills: SAS, Modeling concepts, Power BI, Tableau
Nice-to-Have Skills: Independent learning
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