Workers' compensation excess insurance with predictive pricing and AI
Midwest Employers Casualty underwrites excess workers' compensation insurance for employers and groups. The tech stack reveals a data-first operating model: SQL, Python, Databricks, Spark SQL, and Power BI anchor analytical workflows, while active projects center on predictive modeling, generative AI, and automated deployment pipelines. The hiring mix—concentrated in data roles with supporting engineering—maps directly to their stated pain around pricing model accuracy and the need to automate analytical systems.
MEC is a workers' compensation excess insurance carrier operating as a member company of W. R. Berkley Corporation. The business focuses on tailored coverage for individual employers, employer groups, and insurance companies across the United States. Operations span underwriting, claims management, and pricing actuarial work. The company is headquartered in Chesterfield, Missouri and employs 201–500 people.
SQL, Python, Databricks, Spark SQL, Power BI, Azure, Kubernetes, Docker, Oracle, SQL Server, Salesforce, Workday, Jira, and GitHub for version control and CI/CD.
Predictive modeling for pricing accuracy, generative AI applications, automated analytical workflow deployment, and model development/testing/deployment infrastructure.
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