Hybrid Data Scientist — Claims Predictive Modeling & LLMs

Kemper Corporation; Chicago (IL); Hybrid; USD 93,500 - 155,200; Full time

Benefits offered by this job

Annual discretionary bonus

Medical/dental/vision benefits

401(k) retirement plan

Job summary

Kemper Corporation is seeking a Data Scientist for its Claims Data Science team. The role is hybrid and based at a local Kemper corporate location, focusing on building and deploying predictive models and applied LLM solutions to improve claims operations.

You will develop modeling processes, optimize data infrastructure, and monitor deployed systems while collaborating with cross-functional teams. A graduate degree and 2+ years in data science are preferred, with an emphasis on clear

Qualifications

• Proficient in Python and modeling techniques.
• Experience with NLP/LLMs via API is preferred.
• Graduate degree in a quantitative field.

Responsibilities

• Build predictive models and applied LLM solutions for claims operations.
• Develop and automate modeling processes for deployment.
• Monitor deployed solutions and handle escalations.

Skills

Python

Predictive modeling

NLP/LLMs via API

Communication

Self-directed

Education

Graduate degree in quantitative field

Tools

AWS

Job description

Kemper Corporation is seeking a Data Scientist for its Claims Data Science team. The role is hybrid and based at a local Kemper corporate location, focusing on building and deploying predictive models and applied LLM solutions to improve claims operations.

You will develop modeling processes, optimize data infrastructure, and monitor deployed systems while collaborating with cross-functional teams. A graduate degree and 2+ years in data science are preferred, with an emphasis on clear