Note: The job is a remote job and is open to candidates in USA. Great American Insurance Group is an insurance industry organization seeking a Junior Data Scientist. The role supports analysis of complex datasets, development and deployment of predictive models, data pipeline and reporting automation, and collaboration with business and technical teams to deliver data-driven solutions. It also involves communicating insights, monitoring model performance, and exploring new data sources and techniques.
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
Skills
- 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
- 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
- No prior work experience is required
- 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
- PhD preferred
Benefits
- Medical, dental, and vision coverage for full-time employees
- Wellness plans for full-time employees
- Parental leave for full-time employees
- Adoption assistance for full-time employees
- Tuition reimbursement for full-time employees
- Paid Time Off for full-time and eligible part-time employees
- Paid holidays for full-time and eligible part-time employees
- A 401(k) plan with company match for full-time and eligible part-time employees
- An employee stock purchase plan for full-time and eligible part-time employees
- Commuter benefits for full-time and eligible part-time employees
Company Overview