Position Details
About this role
This role involves leading data engineering efforts to support auto insurance models, focusing on data pipelines, quality, and MLOps to enhance pricing strategies.
Key Responsibilities
- Lead auto model support
- Manage data pipelines
- Ensure data quality
- Implement MLOps practices
- Collaborate with actuarial teams
Technical Overview
The technical scope includes data pipelines, data management, MLOps, and model support using Python and SQL, aimed at automating and scaling auto insurance data processes.
Ideal Candidate
The ideal candidate is a senior data engineering leader with over 8 years of experience in supporting auto insurance models, managing data pipelines, and implementing MLOps practices. They should have strong leadership skills and expertise in data quality and transformation.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in auto model support, Less than 8 years of relevant experience, No experience with data pipelines or MLOps, Insufficient leadership background
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