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# Lead Insurance Data Scientist

- **Company:** EPIC Brokers
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $208,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Business Analytics Applications, Data Analysis, Big Data, Databases, Relational Databases, Programming Tools, Statistical Hypothesis Testing, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Core Data, Information Technology, Data Analytics, Databricks
- **Published:** June 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b136c084fe91477b

## About the Role

Do you have experience in SQL?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and experience.

 * Proficiency with analytical tools and platforms such as Python, SQL, Excel, Tableau, Power BI, or Databricks.
 * Experience working with relational databases and applying core data analysis techniques.
 * Required: At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment.
 * Strong organizational skills with the ability to manage multiple priorities in a self-directed environment.
 * Excellent verbal and written communication skills, with the ability to work effectively across functions.
 * Demonstrated problem-solving ability and sound analytical judgment., * Experience in the insurance industry or broader financial services sector.
 * Strong intellectual curiosity, a proactive approach to problem-solving, and exceptional attention to detail.
 * Familiarity with hypothesis testing and other statistical evaluation techniques.

## Description

* Collect, integrate, cleanse, and manage data from a variety of insurance-related sources.
 * Perform exploratory data analysis to identify trends, patterns, and actionable insights within complex datasets.
 * Develop analytical solutions and process efficiencies using statistical methods, database technologies, and programming tools.
 * Create dashboards, visualizations, and reporting assets that communicate insights clearly to business stakeholders.
 * Prototype new ideas, support statistical research, and apply data science techniques to address recurring business and data quality challenges.


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