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# Data Scientist

- **Company:** Kemper Corporation
- **Location:** Dallas, TX, United States
- **Experience:** Experienced
- **Salary:** $93,500.0 - $155,200.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Cluster Analysis, Data Infrastructure, Relational Databases, Fraud Prevention and Detection, Generalized Linear Model, Python (Programming Language), Natural Language Processing, NumPy, SciPy, Large Language Models, Pandas, Scikit Learn, Text Files
- **Published:** July 19, 2026
- **Apply:** https://www.juju.com/job/00000000ghp08w

## About the Role

+ Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.).

 + Proficiency and experience with several modeling techniques such as generalized linear models, decisiontrees,ensemblelearning,regularizedmodels(ridge/lasso/nets),clustering,andneural networks.

 + Prior experience working with AWS is a plus.

 + Some experience with natural language processing is preferred.

 + Some experience working with LLMs via API is preferred but not required.

 + Ability to work with various data formats. This includes relational databases, delimited text files, data frames, and JSONs.

 + Excellent overall communication skills, especially the ability to translate technical results for non-technical audiences.

 + Graduate degree required in a quantitative field: Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc.

 + 2+ years' experience in a data science/ predictive analytics environment preferred.

 + Self-directed and able to work with little supervision

## Description

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates will work hybrid out of a local Kemper location.

Position Responsibilities:

 + Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage severity, adjuster triage and claims quality management.

 + Develop and automate predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs.

 + Contribute to the improvement of internal modeling capabilities and data infrastructure by suggesting and applying tweaks to existing processes.

 + Monitor deployed solutions and escalate as needed.


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