Location(s)
Alpharetta, Georgia, Boston, Massachusetts, Charlotte, North Carolina, Chicago, Illinois, Cincinnati, Ohio, Dallas, TexasDetails
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.
Position Summary:
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.
Position Responsibilities:
- 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.
Position Qualifications:
Minimum Job Requirements
- 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.
Required Job Skills
- Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, 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.
Preferred Qualifications
- 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, GitLab, 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.
Other
- Sponsorship is not accepted for this role
- This role can be worked hybrid out of Richards, TX or Alpharetta, GA office. Remote options are available for non-local candidate.
- The range for this position is $93,300 to $155,200. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)
Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.
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Skills Required
- Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of data science/analytics experience
- PhD in Mathematics, Statistics, Engineering, or other STEM field
- Strong proficiency in Python
- Experience with pandas, NumPy, scikit-learn, and SciPy
- Experience with visualization libraries
- Proficiency writing and interpreting SQL queries
- Solid understanding of statistical modeling and machine learning concepts (training, validation, evaluation, interpretation)
- Hands-on experience with techniques such as generalized linear models, regularized regression, tree-based models, ensembles, clustering, or neural networks
- Ability to write readable, maintainable, and well-documented Python code
- Experience working with structured datasets from relational databases, delimited files, and data frames
- Excellent communication skills, including translating technical results for broad audiences
- Ability to work independently on defined assignments and seek guidance appropriately
- Experience with time series modeling techniques (ARIMA, forecasting)
- Prior experience in insurance, financial services, pricing, or risk modeling
- Experience with Git, GitLab, or other version control tools
- Exposure to cloud platforms such as AWS, Azure, or Databricks
- Exposure to MLOps concepts: model packaging, version control, CI/CD, reproducible pipelines, model deployment
Kemper Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kemper and has not been reviewed or approved by Kemper.
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Retirement Support — A 401(k) with company match and immediate vesting is paired with an Employee Stock Purchase Program, and an HSA employer contribution is noted for the HDHP option. These features strengthen long-term savings and financial security beyond base pay.
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Healthcare Strength — Comprehensive coverage includes medical, dental, vision, prescription, life and disability insurance, an EAP, and wellness programs. While plan costs vary by option and location, the breadth of core coverage is a clear pillar of the package.
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Leave & Time Off Breadth — PTO, paid holidays, sick time, and paid volunteer time are available alongside paid parental leave and other leave programs. This scope supports time away for rest, family needs, and community engagement.
Kemper Insights
What We Do
The Kemper family of companies is one of the nation’s leading specialized insurers. With approximately $15 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 Auto, Personal Insurance, Life and Health brands. Kemper serves over 6.6 million policies, is represented by approximately 34,000 agents and brokers, and has approximately 10,000 associates dedicated to meeting the ever-changing needs of its customers.









