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Über
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.
Since 1989, National Interstate has specialized in serving the insurance needs of the wheels-based transportation industry. Our steadfast focus on developing niche expertise in product design, loss control and claim services has made National Interstate one of the most respected names in commercial transportation insurance today.
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https://natl.com/
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National Interstate is looking for a Data Scientist to join their team. This individual will work a hybrid schedule out of the Richfield office.
National Interstate'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, and customer retention. 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. PhD preferred.
Experience:
Generally, a minimum of 3 years of experience exploring and manipulating large data sets, leveraging structured and unstructured data sources, and applying predictive modeling.
Scope of Job/Qualifications:
Proven experience in techniques for optimizing models, machine learning, and proficiency in analytical programming languages. Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM). Experience with cloud platforms (AWS, Azure, or GCP) and data pipeline tools (e.g., Airflow, dbt). Experience with geospatial data, telematics, or catastrophe modeling. Experience with natural language processing techniques and language models is a plus. 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. 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.
Company: NIIC National Interstate Insurance Company
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.
Sprachkenntnisse
- English
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