Senior Data Scientist

Kemper Corporation; Bloomington (IL); Hybrid; USD 104,000 - 173,000; Full time

Benefits offered by this job

Hybrid work arrangement

Annual discretionary bonus

Competitive benefits package

Job summary

Kemper Corporation is seeking a highly skilled Data Scientist to design and deploy predictive models for pricing and growth. You will own end-to-end analytical workflows and collaborate with cross-functional partners.

The role emphasizes scalable Python-based solutions, model monitoring, and clear communication of results to technical and business stakeholders. Hybrid work is available with local office options.

Qualifications

• Bachelor's or higher in Mathematics, Statistics, Engineering or STEM with substantial experience in data science and insurance analytics.
• Proven ability to design, implement and monitor ML solutions end-to-end.
• Strong Python and SQL skills with experience in data processing and visualization.

Responsibilities

• Design and implement statistical and ML solutions for pricing, product development and growth.
• Lead analytical workstreams from problem framing to delivery and monitoring.
• Collaborate with data scientists, engineers and business partners to scale solutions.

Skills

Python

SQL

Statistical modelling

ML techniques

Communication

Problem solving

Documentation

Git/GitLab

Cloud platforms

Education

Bachelor's degree in STEM

PhD in STEM (preferred)

Tools

Git/GitLab

AWS/Azure/Databricks

Job description

Location(s)Alpharetta, Georgia, Bloomington, Illinois, Chicago, Illinois, Dallas, Texas, Jacksonville, Florida, San Antonio, TexasDetailsKemper 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 independently designing, developing, implementing, and monitoring predictive modeling and analytical solutions that support pricing segmentation, product development, and profitable growth.Position Responsibilities:Independently designs, develops, validates, and implements statistical and machine-learning solutions for complex business problems.Owns significant analytical and modeling workstreams from problem definition through delivery and performance monitoring.Collaborates with data scientists, data engineers, and business partners to develop scalable analytical solutions.Develops reusable, well-documented analytical workflows using modern data science and cloud technologies.Manages priorities, deliverables, and timelines for assigned projects and communicates progress, risks, results, and recommendations to stakeholders.Participates in model and code reviews and recommends methodological or implementation enhancements.Provides technical guidance to less experienced team members and contributes to data science best practices.Position Qualifications:Minimum Job RequirementsBachelor’s degree in Mathematics, Statistics, Engineering, or another STEM field with at least 8 years of relevant experience, or a graduate degree in a STEM field with at least 6 years of relevant experience in the insurance industry, data science/analytics, or a related environment. PhD in a STEM field preferred, with at least 4 years of relevant industry experienceAt least 4 years of firsthand experience with statistical modeling and AI/ML platformsDemonstrated experience independently developing and delivering statistical or machine-learning solutionsRequired Job SkillsStrong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries.Strong proficiency in SQL for data extraction, transformation, validation, and analysis of large and complex datasets.Strong understanding of statistical modeling and machine learning concepts, including model design, feature development, training, validation, performance evaluation, interpretation, and monitoring.Hands-on experience with a range of statistical and machine learning techniques, such as generalized linear models, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.Ability to develop readable, maintainable, modular, and well-documented Python code and reusable analytical workflows.Experience working with large and complex structured datasets from relational databases, delimited files, data frames, and other common data formats.Strong problem-solving skills with the ability to independently develop analytical approaches for complex or ambiguous business problems.Excellent communication skills, particularly the ability to translate technical methodologies, results, and recommendations for both technical and business audiences.Ability to independently manage significant analytical workstreams while collaborating effectively with data scientists, data engineers, and business partners.Experience participating in model reviews, code reviews, and technical discussions and providing constructive recommendations for improvement.Preferred QualificationsPrior experience in insurance, financial services, pricing, risk modeling, or a related analytical business environment.Experience applying predictive modeling techniques to pricing, risk, product, or other complex business applications.Experience with Git, GitLab, or other version control and collaborative development tools.Hands-on experience with cloud platforms such as AWS, Azure, Databricks, or similar environments for data science and machine learning workflows.Familiarity with MLOps practices such as model packaging, CI/CD workflows, reproducible pipelines, model deployment, and performance monitoring.Experience developing reusable or modular analytical frameworks that support scalable model development and implementation.Experience providing technical guidance or mentoring to less experienced data scientists.Additional InformationThis position can be worked in a hybrid arrangement from a local Kemper office. Remote options are available for non-local candidates.The range for this position is $104,300 to $173,300. 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.)Sponsorship is not accepted for this opportunity.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.#LI-JO1