Great American Insurance Company
Data Science Intern 2026
Great American Insurance Company, Richfield, Ohio, United States, 44286
National Interstate Internship Program
The National Interstate Internship program gives students the ability to apply skills and knowledge from their classes to the workplace. The program provides a unique hands-on experience to explore the insurance industry and leave an impact on the business. Interns will have the opportunity to learn about various departments, engage in professional development training, and shadow different areas of the business. In addition, social activities foster an environment to network and build relationships. We value the unique perspectives and meaningful contributions our interns bring every summer. The program is taking place in Summer 2026. The role will be expected to work in the Richfield, Ohio office. Essential Job Functions and Responsibilities Assists in the analysis of 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. May translate business problems/opportunities into technical requirements and data science specifications. Assists in creating solutions that enable enhanced business performance and decision making through a range of data preparation, modeling, analysis and/or visualization techniques. Assists in using artificial intelligence and machine learning to develop processes automation. Participates in researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. Develops business knowledge and customer relationships. May estimate the economic impact of operational decisions. Performs other duties as assigned. Job Requirements Education:
Currently enrolled in a Bachelor's degree (B.A.) from a four-year college or university or Master's degree pursuing a degree in Mathematics, Statistics, Analytics, or a related field. Anticipated graduation date ranging from Fall/Winter 2026 to Spring 2027. Prior experience using Python/ R, SQL, and Microsoft Excel. Company: NIIC National Interstate Insurance Company Benefits Compensation varies by role, position level, and location. Individual pay is influenced by skills, education, training, certifications, experience, and the role's scope and complexity, along with business needs. We offer a competitive Total Rewards package, including medical, dental, and vision plans starting on day one, PTO, paid holidays, commuter benefits, an employee stock purchase plan, education reimbursement, paid parental leave/adoption assistance, and a 401(k) plan with company match. These benefits are available to eligible full-time and part-time employees. Your recruiter can provide more details about our total rewards and specific compensation ranges during the hiring process.
The National Interstate Internship program gives students the ability to apply skills and knowledge from their classes to the workplace. The program provides a unique hands-on experience to explore the insurance industry and leave an impact on the business. Interns will have the opportunity to learn about various departments, engage in professional development training, and shadow different areas of the business. In addition, social activities foster an environment to network and build relationships. We value the unique perspectives and meaningful contributions our interns bring every summer. The program is taking place in Summer 2026. The role will be expected to work in the Richfield, Ohio office. Essential Job Functions and Responsibilities Assists in the analysis of 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. May translate business problems/opportunities into technical requirements and data science specifications. Assists in creating solutions that enable enhanced business performance and decision making through a range of data preparation, modeling, analysis and/or visualization techniques. Assists in using artificial intelligence and machine learning to develop processes automation. Participates in researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. Develops business knowledge and customer relationships. May estimate the economic impact of operational decisions. Performs other duties as assigned. Job Requirements Education:
Currently enrolled in a Bachelor's degree (B.A.) from a four-year college or university or Master's degree pursuing a degree in Mathematics, Statistics, Analytics, or a related field. Anticipated graduation date ranging from Fall/Winter 2026 to Spring 2027. Prior experience using Python/ R, SQL, and Microsoft Excel. Company: NIIC National Interstate Insurance Company Benefits Compensation varies by role, position level, and location. Individual pay is influenced by skills, education, training, certifications, experience, and the role's scope and complexity, along with business needs. We offer a competitive Total Rewards package, including medical, dental, and vision plans starting on day one, PTO, paid holidays, commuter benefits, an employee stock purchase plan, education reimbursement, paid parental leave/adoption assistance, and a 401(k) plan with company match. These benefits are available to eligible full-time and part-time employees. Your recruiter can provide more details about our total rewards and specific compensation ranges during the hiring process.