Data Scientist

Kemper•Dallas, TX

51d•$93,500 - $155,200•Remote

About The Position

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: 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.

Requirements

Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.).
Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks.
Ability to work with various data formats. This includes relational databases, delimited text files, data frames, and JS O Ns.
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
Sponsorship is not accepted for this opportunity

Nice To Haves

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.

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.