Data Science Manager

Kemper

Develop and deliver machine learning and AI solutions for various claims applications at Kemper. Lead a team while optimizing workflow and ensuring model governance in cross-functional collaboration.

Posted 7/22/2026full-timeAlpharetta • Connecticut, Illinois, Massachusetts, New York, Ohio • 🇺🇸 United StatesMid-LevelSenior💰 $115,700 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing teams to develop and deploy machine learning and AI solutions, with a strong focus on model governance, performance monitoring, and continuous improvement. Proficient in communicating complex technical concepts to stakeholders and leading projects within the insurance industry.

Highest-signal resume keywords

Machine LearningAI TechnologiesPythonSQLStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI TechnologiesStatistical ModelingPredictive ModelingSoftware Development Best Practices

Soft Skills

Communication SkillsMentoringTeam Management

Tools & Technologies

GitVersion Control

Industry Keywords

Insurance IndustryData ScienceAnalytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Claims experience preferred.

Benefits

Comp & perks

Qualify for your choice of health and dental plans within your first month.
Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans.
Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs.
Contribute to your community through United Way and volunteer programs.
Balance your life with generous paid time off and business casual dress.
Get employee discounts for shopping, dining and travel through Kemper Perks.