Data Scientist

Position Summary

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to build and deploy predictive models and applied LLM solutions. The role is hybrid and based at a local Kemper corporate location.

Responsibilities

• Build predictive models and applied LLMs to support claims operations (fraud detection, subrogation identification, vehicle damage severity, adjuster triage, claims quality management).
• Develop and automate predictive modeling processes for deployment across the organization.
• Suggest and implement improvements to existing modeling processes and data infrastructure.
• Monitor deployed solutions and handle escalations as needed.

Qualifications

• Proficient in Python (scikit-learn, pandas, numpy, scipy, etc.).
• Experience with modeling techniques: generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks.
• Prior experience with AWS is a plus.
• Experience with natural language processing and/or large language models via API is preferred.
• Familiarity with various data formats (relational databases, delimited text, data frames, JSON).
• Excellent communication skills, able to translate technical results for non‑technical audiences.
• Graduate degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, MIS, Economics, Electrical Engineering, etc.).
• 2+ years experience in a data science or predictive analytics environment preferred.
• Self‑directed and able to work with little supervision.

Compensation and Benefits

Salary range: $93,500 to $155,200. Eligible for an annual discretionary bonus and Kemper benefits including medical, dental, vision, PTO, and 401(k). Sponsorship is not accepted for this opportunity.

EEO Statement

Kemper is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by law in the locations where we operate.