Data Science Intern - Great American Risk Solutions

Great American Insurance Group • Cincinnati, OH

1d

About The Position

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow. At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best. The Risk Solutions Data Science Team provide data products and services to help our business units use technology to create, manage, and optimize information and business processes. These include a wide range of activities such as: model development, process automation, decision support, and data augmentation. The overall goal of the team is to provide technology solutions that increase efficiency, increase revenue, and give our company a competitive advantage over our competitors. The Data Science Team within the Risk Solutions division is seeking an intern for the summer 2026.

Requirements

• Development skills in Python, the core AI/ML libraries (required)
• PySpark, PyTorch
• Retrieve and manipulate data and troubleshoot data issues via SQL query
• Experience with Snowflake and SQL database
• Experience with distilling and presenting complex problems and their solutions to a non-technical audience
• Internal drive to expand your personal domain expertise and curiosity about how to use that expertise in collaboration with other team members to mitigate our current and future customers’ financial needs.
• Working towards Master’s Degree in Data Science, Applied Math, Statistics, Engineering, Finance, Science, or Computer Science or equivalent experience

Responsibilities

• Analyzes internal and external data and performs statistical modeling to develop actionable insights and recommendations to management regarding business and product performance.
• Develops data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends and extract knowledge from large, high dimensional data sets
• Identifies areas to increase efficiency and automation of data analysis processes.
• Translate business problems/opportunities into technical requirements and data science specifications.
• Distill and present complex problems and solutions by creating concise slide decks for leadership
• Creates solutions that enable enhanced business performance and decision making through a range of data preparation, modeling, analysis and/or visualization techniques.
• Uses artificial intelligence and machine learning to develop processes automation.
• Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
• Develops and maintains strong business knowledge and customer relationships.
• May estimate the economic impact of operational decisions.
• Actively participates in agile planning and documentation in support of producing minimum viable products as well as product long term roadmaps
• Performs other duties as assigned.

Benefits

• We offer competitive benefits packages for full-time and part-time employees.
• Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement.
• Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
• Compensation varies by role, level, and location and is influenced by skills, experience, and business needs.
• Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.
• Learn more at http://www.gaig.com/careers.
• Excludes seasonal employees and interns.

What This Job Offers

• Career Level: Intern