Data Scientist Intern
Summary
SageSure, a catastrophe-exposed property insurance managing general underwriter, is hiring a Data Scientist Intern for its Homeowners Product Research (Actuarial) team. The intern builds statistical learning models, researches external data, translates model results, and helps develop data pipelines for insurance pricing using SQL and R or Python.
Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist Intern. As a member of SageSure’s Homeowners Product Research team housed in Actuarial, Data Scientist Interns will have the opportunity to assist in providing technical and analytical assessments of complex business issues related to the management of the current and future development of insurance products. Our interns will learn and use actuarial techniques in developing pricing plans.
Our internship program matches qualified students with the opportunity to participate in real-world situations, obtain industry knowledge, receive on-the-job training, and gain career-enhancing technical skills that will foster professional growth. Furthermore, our internships are designed to provide interns the opportunity to network with subject matter experts within the industry as they work to build their professional skills.
What you’d be doing:
- Build statistical learning models to solve business problems
- Research external data and explore potential usage of external data
- Collaborate with Underwriting, Actuarial and Data Management to formulate business problems into modeling projects
- Translate and champion model results to diverse audiences
- Assist in developing data pipeline for modeling projects
We’re looking for someone who has:
- Enrolled in a graduate program in Statistics, Data Science or related fields, with an expected May 2028 graduation date.
- Experience in merging and preparing data for analysis
- Proficiency with supervised and unsupervised learning models such as Generalized Linear Models, Generalized Additive Model, Lasso, KNN, Boosting, etc.
- Proficiency in statistical inference
- Proficiency in SQL and programming experience in R or Python
- Proficiency in Microsoft Office suite
- Willingness to learn
- Ability to work independently and as a team member
- To qualify, all applicants must be authorized to work in the United States
About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices—Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit to find a position for you.
California Applicants: View SageSure’s Workforce Members’ Privacy Notice - CA Privacy Policy & Notice of Collection
Skills
As published by greenhouse · 20 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (7)
- LinkedIn Profile optional
- What is your preferred first name?
- What is your preferred last name?
- If you know someone who currently works for SageSure, please note the employee's name and your relationship. optional
- What is your desired hourly rate?
- What is your current (or most recent) company?
- What is your current (or most recent) job title?
Pick from a list (13)
- What US state do you currently permanently reside in?
- Do you know anyone who currently works for SageSure?
- Are you willing to relocate?
- Are you authorized to work for any employer in the United States?
- Will you now or at any time in the future require work sponsorship?
- Do you have prior experience working in the insurance industry?
- Which best describes the current or most recent industry in which you work?
- Do you have an active non-compete agreement that would interfere with your ability to work with SageSure?
- Have you previously worked for SageSure?
- This is an on-site flexible role. Which of our office locations are you currently within a commutable distance to and willing to work on-site multiple days per week?
- What is your current grade level?
- When is your anticipated graduation date?
- Are you currently enrolled in a graduate program (Master's or Ph.D.) in Data Science, Statistics, or a related field with an anticipated graduation date around May 2028?