Data Scientist - Financial Institution Services

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.

Great American Financial Institution Services specializes in providing risk management and product enhancement programs to vehicle lenders and lessors, commercial equipment lenders, auto dealers and mortgage lenders throughout the U.S. and Canada. Target clients include commercial banks, credit unions, finance companies, buy-here pay-here dealers and leasing and rental concerns.

The Financial Institution Services Division is hiring for a Data Scientist! Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday–Thursday, with the fourth day determined by business needs.

Essential Job Functions and Responsibilities

• Analyzes large, complex datasets to identify trends, patterns, and opportunities.

• Designs, develops, and deploys predictive models for underwriting, pricing, claims, catastrophe modeling.

• Designs and implements data pipelines and automated reporting tools.

• Participates in collaborating with actuarial, underwriting, claims, and product teams to translate business problems into data science solutions.

• Participates in communicating data insights and recommendations to senior leadership through compelling data storytelling and visualization.

• Monitors and maintains model performance and ensures data quality and integrity.

• Drives innovation by exploring new data sources, modeling techniques, and technologies to enhance business performance.

• Participates in collaborating with data engineers to ensure data quality, accessibility, and scalability.

• Performs other duties as assigned.

Job Requirements

• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Actuarial Science , or a related quantitative field or equivalent work experience is required.

• Experience: Generally, 3 or more years of experience exploring and manipulating large data sets, leveraging structured and unstructured data sources, and applying predictive modeling.

• Proficiency with Python, SQL, and machine learning libraries.

• Proficiency in data visualization tools (Tableau, PowerBI, etc.) and dashboard development.

• Experience with cloud platforms (preferably Snowflake).

• Prior experience with geospatial data or catastrophe modeling is preferred.

Scope of Job/Qualifications: Proven experience in techniques for optimizing models, machine learning, and proficiency in analytical programming languages. Develops and maintains an understanding of the organization's business and technology operations. Demonstrates growing knowledge of department policies and procedures. Developing knowledge of industry trends and technologies to continuously improve data modeling and insights as well as knowledge of regulatory requirements and model governance in insurance.

Business Unit:

Financial Institution Services

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.