Telematics Intern - Summer 2027

Great American Insurance Group; Cincinnati (OH); On-site; USD 25,000 - 39,000; Full time

Job summary

Great American Insurance Company is seeking Business Data & Analytics (BD&A) Interns to support predictive analytics or telematics teams in Cincinnati. The internship offers hands-on experience applying data and analytics to real insurance business problems.

Intern placement will be based on skills, experience, and interests, with mentorship from experienced BD&A professionals. The role involves learning, networking, and professional development, and offers exposure to projects in predictive

Qualifications

• Introductory experience with Python, R, SQL or similar analytical tools.
• Basic understanding of statistics, data analysis, or analytical problem-solving.
• Exposure to predictive modeling, machine learning, or related concepts.

Responsibilities

• Analyze data to identify trends, patterns, relationships, and insights that support business decisions.
• Assist with development, testing, validation, and enhancement of analytical models and solutions.
• Develop and evaluate structured data sets to support analytics projects and communicate findings.

Skills

Python

R

SQL

Statistics basics

Data visualization

Education

Data Science / Analytics related degree

Intro to predictive modeling

Tools

Pandas

Scikit-learn

Job description

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.This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.Suggested General Job Description Post:We are seeking Business Data & Analytics (BD&A) Interns to support our Predictive Analytics or Telematics team. This internship provides hands-on experience applying data and analytics to real business problems within the insurance industry.BD&A brings together specialized teams that use data, analytics, and technology to generate insights and support business decisions. Through this posting, internship opportunities are available within:Telematics – Uses driving, connected-device, and behavioral data to develop insights and analytical solutions that support insurance products and business strategies.Intern placement will be based on the candidate’s skills, experience, academic background, and interests, along with available projects and team needs.Essential Job Functions and ResponsibilitiesDepending on team placement and project needs, responsibilities may include:Analyze data to identify trends, patterns, relationships, and insights that support business decisions.Assist with the development, testing, validation, and enhancement of analytical models and solutions.Develop, evaluate, and improve structured and unstructured data sets to support analytics projects.Use analytical and programming tools to explore data, conduct analysis, and communicate findings.Collaborate with analytics, technology, and business partners to understand business needs and develop analytical approaches.Support projects involving predictive analytics, statistical analysis, telematics data, or other advanced analytics applications.Apply best practices related to data quality, accuracy, testing, and documentation.Document analytical processes, methodologies, and findings.Independently complete assigned tasks while receiving guidance and mentorship from experienced BD&A professionals.Participate in learning, networking, and professional development opportunities.Perform other duties as assigned in support of BD&A initiatives.Job RequirementsField of Study: Data Science, Data Analytics, Business Analytics, Actuarial Science, Computer Science, Information Systems, or a related discipline.Available to work full time during Summer 2027, beginning May 17thPreferred ExperienceExperience working with structured data sets of varying size and shape.Introductory experience with Python, R, SQL, or similar analytical or programming tools.Basic understanding of statistics, data analysis, or analytical problem-solving.Exposure to predictive modeling, machine learning, statistical analysis, or related concepts.Ability to identify patterns and draw conclusions from data.Exposure to data visualization or tools used to communicate analytical findings.Demonstrated skills in problem solving, attention to detail, accuracy, and time managementAbility to work independently while collaborating effectively with team members and business partners.Introductory experience with Generative AI coding with agentic harnesses or turn-based chatsExperience working on team projects, student organizations, or other activities that demonstrate leadership, collaboration, and organizational skills.Business Unit:Business Data and AnalyticsBenefits: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.