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# Data Scientist - Hybrid

- **Company:** National Interstate
- **Location:** Richfield, OH, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Data Visualization, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Power BI, SQL Databases, Tableau (Software), Scikit Learn, Information Technology, Xgboost, Data Pipelines, Software Library
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=98696f421b2321b9

## About the Role

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.

## Description

* 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.


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