Advanced Analytics Intern
About The Position
This opportunity is in the Advanced Analytics Department: Curious about data analytics, artificial intelligence, and analytics engineering? Our Advanced Analytics department seeks students who are passionate about using data to solve meaningful business problems in a real-world enterprise setting. If you are interested in applying programming, machine learning, and AI techniques to complex structured data — while gaining exposure to how analytics supports underwriting, claims, and risk management — this is an opportunity to contribute to impactful initiatives within a growing analytics team. Role Description: As an Advanced Analytics Intern, you will evaluate, organize, and analyze data in pursuit of business goals across Safety National. You will gather requirements, conduct analysis, and apply your knowledge of programming, statistics, and data modeling to help build or enhance internal data solutions. You will work closely with analytics and AI engineers and data scientists to support projects that improve how we structure, transform, and interpret complex insurance data. Responsibilities may include: Analyzing and profiling structured and semi-structured datasets Assisting with data modeling and transformation logic Writing and optimizing SQL queries in a relational database environment Supporting automation of repeatable data processes Contributing to applied AI initiatives, including proof-of-concept efforts using machine learning or large language models to help structure, classify, or interpret insurance data into analytics-ready formats. Some projects may involve exploring how modern AI techniques can assist in organizing complex inbound data or improving internal workflows. These efforts are exploratory in nature but grounded in real business use cases. You will be assigned both a mentor and a manager to support your development. While guidance will be provided, you will be expected to take ownership of your work, think critically, and contribute meaningfully to team objectives. Your coursework in programming, artificial intelligence, mathematics, statistics, machine learning, or data engineering will be applied to real business challenges in a structured enterprise environment. This internship provides a great opportunity to an aspiring data analytics student who desires to jumpstart their career by interning full-time in summer of 2026. If that is you, we hope you will strongly consider applying to join our team at safetynational.com/careers-page.
Requirements
- Graduate or currently enrolled student in a Data Science, Artificial Intelligence, Software Engineering, Data Analytics or similar program
- 60 or more credit hours complete with an expected graduation date no later than May of 2027
- Exposure to SQL programming including modifying scripts and writing new queries
- Proficiency in one or more programming languages, such as Python, R, VBA, SAS, etc.
- Strong written and verbal communication skills including ability to articulate complex topics to a wide variety of audiences
- Ability to work on-site at 1832 Schuetz Rd. Saint Louis, MO 63146
- Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
Nice To Haves
- Prior work or internship experience
- Exposure to large language models, natural language processing, or AI-assisted development tools.
- Experience working with relational databases or data warehouse platforms such as Snowflake.
- Foundational understanding of insurance industry principles and risk management
Responsibilities
- Analyzing and profiling structured and semi-structured datasets
- Assisting with data modeling and transformation logic
- Writing and optimizing SQL queries in a relational database environment
- Supporting automation of repeatable data processes
- Contributing to applied AI initiatives, including proof-of-concept efforts using machine learning or large language models to help structure, classify, or interpret insurance data into analytics-ready formats.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
