Data Scientist - Financial Institution Services

Great American Insurance Group•Cincinnati, OH

3d•Hybrid

About The Position

Great American Insurance Group's Financial Institution Services division is seeking a Data Scientist. This role is part of a company that combines a "small company" culture with "big company" expertise, offering opportunities for learning and growth within its diverse operations. The division specializes in risk management and product enhancement programs for various lenders and dealers. The company culture emphasizes connection, shared learning, and strong relationships. Employees in this role are expected to be on-site four days a week, with one flexible remote day, and core in-office days being Tuesday-Thursday.

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Actuarial Science, or a related quantitative field or equivalent work experience.
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).
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.

Nice To Haves

Prior experience with geospatial data or catastrophe modeling is preferred.

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.
Collaborates with actuarial, underwriting, claims, and product teams to translate business problems into data science solutions.
Communicates 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.
Collaborates with data engineers to ensure data quality, accessibility, and scalability.
Performs other duties as assigned.