Partner with Data Scientists, Data Engineers, and business stakeholders to understand project objectives and translate business needs into analytical approaches.
Assist with model validation, performance evaluation, and documentation of analytical methods and results.
Develop visualizations, summaries, and presentations that clearly communicate findings to both technical and non-technical audiences.
Support experimentation and testing to evaluate model performance, business impact, or potential improvements.
Participate in team meetings, project discussions, and technical reviews.
Learn and apply data science best practices related to reproducibility, documentation, testing, and responsible use of data.
We’re looking for someone who has
Is currently enrolled in a relevant degree program with a focus on Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, with an anticipated graduation date in 2028.
Has foundational experience working with data through coursework, academic projects, research, or prior work experience.
Has experience with Python, R, SQL, or another programming or analytical language.
Demonstrates strong analytical, quantitative, problem-solving, and critical-thinking skills.
Has a basic understanding of statistics, data analysis, or machine learning concepts.
Is comfortable working with data and interpreting analytical results.
Has strong written and verbal communication skills and can explain technical concepts in a clear and understandable way.
Is detail-oriented, curious, and willing to explore different approaches to solving problems.
Is comfortable multitasking and eager to learn new tools, technologies, and analytical techniques.
Has the ability to work independently as well as collaboratively as a team member.
Is authorized to work in the United States.
Highly preferred candidates also have
Prior internship, research, technical project, or relevant professional experience.
GPA of 3.0 or higher.
Experience using Python for data analysis, modeling, or machine learning.
Familiarity with SQL and relational databases.
Exposure to machine learning techniques, statistical modeling, or predictive analytics.
Experience with data visualization tools or libraries.
Familiarity with cloud platforms, Databricks, or other modern data and analytics technologies.
Experience presenting analytical findings or recommendations to non-technical audiences.
Data and AI at SageSure
At SageSure, data and AI aren’t just functions—they’re engines for innovation. Our Data & AI organization brings together Data Science, Business Intelligence, Data Management, and emerging AI capabilities to power smarter decisions and deliver meaningful impact across the business. From advanced machine learning models to scalable data ecosystems and real-time insights, we transform complex information into clarity that drives strategic outcomes.
We’re building a team of curious, collaborative problem-solvers who are excited about pushing the boundaries of what data and AI can do. Whether you’re developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you’ll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance.
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 sagesure.com/careers to find a position for you.
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