Data Science Manager
Kemper•Chicago, IL
•Hybrid
About The Position
Responsible for developing and delivering machine learning and AI solutions for Claims use cases, including claim triage, fraud detection, severity prediction, litigation, subrogation, workflow optimization, and other claims analytics applications, while providing technical leadership and leading projects. This role includes direct people leadership responsibilities, including coaching, mentorship, and performance management.
Requirements
- Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment.
- PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.
- Prior experience mentoring or managing talent.
- Experience developing and deploying predictive models into production.
- At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
- Strong proficiency in Python and SQL.
- Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
- Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical insights to business stakeholders and senior leadership.
Nice To Haves
- Claims experience preferred.
Responsibilities
- Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
- Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
- Manages project scope, expectations, and timelines.
- Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
- Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
- Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
- Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.
Benefits
- Medical
- Dental
- Vision
- PTO
- 401k
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What This Job Offers
Job Type
Full-time
Career Level
Manager
