Data Science Internship Jobs in Cincinnati, OH (NOW HIRING)

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.

We are seeking a Telematics Data Scientist to build foundational analytics that connect claims and telematics data, uncover actionable driverlevel insights, enable AI- and automationdriven capabilities, support IoT data discovery, and lay the groundwork for future telematics-enabled decision making.

The ideal candidate combines curiosity, data engineering, data science, and analytical skills with disciplined documentation and a productminded approach, ensuring assets are reusable, scalable, and aligned to enterprise expectations.

Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core inoffice days are Tuesday-Thursday, with the fourth day determined by business needs.

Essential Job Functions & Responsibilities

• Develop and iterate claimstotelematics join logic, contributing analytical, data engineering, and documentation capacity to expand the share of claims successfully linked to telematics data.

• Build reusable analytical components that support future pricing enablement, including exploratory and productionready logic for fleet behavior monitoring, trendshift detection, and trip and geographybased risk signals.

• Identify opportunities where telematicsderived analytics can be embedded into AI or automationdriven workflows.

• Design and optimize Snowflake data structures (tables, schemas, and queries) to provide highquality, scalable foundations for downstream modeling, reporting, and automation.

• Document analytical logic, data structures, and decision rationale to support longterm maintainability, auditability, and knowledge transfer.

• Improve schema design, reduce duplication, standardize table usage, and support onboarding of new telematics or IoTderived data sources.

Job Requirements

• Bachelor's in Data Science, Computer Science, Business Analytics, Neuroscience, or related fields. Master's degree in these fields would be highly preferred.

• 3 or more years of related experience.

• Strong SQL proficiency.

• Experience with unsupervised machine learning techniques to surface patterns, hypotheses, and emerging risk signals.

• Experience with hypothesis-driven modeling with domain-informed features and constraints.

• Handson experience with Python for data transformation, feature engineering, and building data pipelines that support machine learning workflows and automation.

• Strong documentation habits, with the ability to clearly explain analytical logic, data structures, and decisions.

Preferred Skills

• Practical experience with Snowflake data modeling, including table and schema design and query performance optimization.

• Experience with geospatial or gridbased analytics (e.g., H3 or similar).

• Background in insurance, fleet, risk, or pricing analytics, particularly where telematics or sensor data is involved.

Business Unit:

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.