Data Scientist

Kemper at a Glance

The Kemper family of companies is one of the nation’s leading specialized insurers. With approximately $12 billion in assets, Kemper is improving the world of insurance by providing affordable and easy-to-use personalized solutions to individuals, families and businesses through its Kemper Auto and Kemper Life brands. Kemper serves over 4.6 million policies, is represented by approximately 24,200 agents and brokers, and has approximately 7,500 associates dedicated to meeting the ever-changing needs of its customers.

Alpharetta, Georgia, Boston, Massachusetts, Charlotte, North Carolina, Chicago, Illinois, Cincinnati, Ohio, Dallas, Texas

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs.

By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization’s success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions.

• Independently designs and develops statistical models and analytical solutions.
• Develops and automates analytical processes that can be deployed throughout the organization to solve recurring analytics needs.
• Communicates project progress and challenges to the working team.
• Develops database, technical, and business knowledge.
• Documents modeling assumptions, methodology, code, and analytical results clearly and consistently.
• Participates in model reviews, code reviews, and technical discussions with data science peers.

• Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience working in a data science/analytics environment.
• PhD in Mathematics, Statistics, Engineering, or other STEM field with related industry experience preferred.

• Strong proficiency in Python, including experience with common data science libraries such as pandas, Num Py, scikit-learn, Sci Py, and visualization libraries.
• Proficiency writing and interpreting SQL queries for data extraction and analysis.
• Solid understanding of statistical modeling and machine learning concepts, including model training, validation, performance evaluation, and interpretation.
• Hands‑on experience with common statistical and machine learning techniques, such as generalized linear models, regularized regression, tree‑based models, ensemble methods, clustering, or neural networks.
• Ability to write readable, maintainable, and well‑documented Python code.
• Experience working with structured datasets from relational databases, delimited files, data frames, and other common data formats.
• Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
• Ability to work independently on defined assignments while seeking guidance appropriately on complex or ambiguous problems.

• Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis.
• Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical business environment is preferred but not required.
• Experience with Git, Git Lab, or other version control and collaborative development tools.
• Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments.
• Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible pipelines, and model deployment.

• Sponsorship is not accepted for this role.
• This role…