Junior Data Scientist

Role Summary

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.

Essential Job Functions and Responsibilities

Assists in analyzing large, complex datasets to identify trends, patterns, and opportunities.

Designs, develops, and deploys predictive models for underwriting, pricing, claims, and customer retention.

Assists with designing and implementing data pipelines and automated reporting tools.

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

Assists with communicating data insights and recommendations to leadership through compelling data storytelling and visualization.

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

Participates in driving 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.

Business Unit

Great American Employer Health Solutions

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. PhD preferred.
• Experience: No prior work experience is required.

Scope of Job/Qualifications: Proficient in techniques for optimizing models, machine learning, and in analytical programming languages. Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM). Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipeline tools (e.g., Airflow, dbt). Familiar with geospatial data, telematics, or catastrophe modeling. Proficiency in data visualization tools (e.g., Tableau, Power BI) and dashboard development. Develops and maintains an understanding of the organization's business and technology operations. Developing 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.

$75,000.00 -$85,000.00

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 .
• *Excludes seasonal employees and interns.