At Mercury Insurance, we take pride in helping people.
Everything we do at Mercury is guided by one central idea that dates back to the founding of the company in 1961: we’re here to help. This extends to all facets of our business, from our customers to our employees, to the communities we serve. At Mercury, our work is challenging and rewarding, while our environment is fun and casual. We always look for opportunities to become even better, so we continue to learn and grow. And we make a difference every day by helping people reduce risks and get back to normal after unexpected events. Insurance might not sound that exciting, but we cannot imagine our world without it. We hope you choose to be part of our amazing family of team members.
We are one team.
Our Product Management team – which consists of product development, actuarial science, R&D, data science, and data engineering – moves quickly to adapt to the changing needs of our customers. The team works collectively to find smart solutions to complex problems through close collaboration with stakeholders across the company. With the recent launch of new products in multiple states, major investments in building a world-class modern data stack, and the need for continued innovation in the insurance industry to meet the challenges posed by COVID, climate and social change, there is an abundance of impactful projects to tackle.
So whether your passion lies in data engineering, data science, machine learning, artificial intelligence, actuarial science, formulating pricing plans to hit profit and growth targets, or strategic product development to differentiate Mercury in the marketplace and provide a better customer experience, it’s an exciting time to be at Mercury!
Job Summary:
Mercury believes in the diversity of our employees, ideas, and experiences, and we are committed to building an inclusive culture that represents the communities we serve. We are seeking curious, passionate, and hard-working students from quantitative academic fields to partake in our paid and 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.
Job Function:
Interns will work with their managers and fellow interns within an interactive Agile framework that includes daily stand-ups and weekly tactical problem-solving sessions. Interns will also attend the broader meetings within their respective functions to help further contextualize their work. 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.
- 10-week remote summer internship
- 40-hour work week
- Paid internship: $25/hour for undergraduates; $30/hour for graduate students
- Future full-time opportunities may be available for high performers
Education Requirements:
- Be legally eligible to work in the U.S.
- Pursuing a Bachelors (BS/BA) or Masters (MS/MA) degree in a scientific/quantitative field
- Able to provide current GPA, as reported by your school. Minimum 3.0 GPA required, 3.5 or higher GPA preferred.
- Ability to work 40 hours a week, 10-week internship, beginning in June 2023
- Enrolled student attending a university program with an expected graduation date on or after August 2023
- Planning to seek full-time employment between December 2023 and September 2024
Knowledge and Skills:
- Excellent verbal and written communication
- Strong commitment to teamwork, learning and collaboration
- Ability to manipulate, analyze, and model data to address and solve business problems
- Willingness to independently learn and make an impact within a team environment
- Skilled in at least one programming language (such as Python, R, SQL, SAS)
- Proficient in Microsoft Office Suite