Data Scientist

Kemper Corporation
Chicago, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 155K

Job location

Chicago, United States of America

Tech stack

API
Amazon Web Services (AWS)
Artificial Neural Networks
Data Infrastructure
Relational Databases
Fraud Prevention and Detection
Generalized Linear Model
Python
Natural Language Processing
NumPy
SciPy
Large Language Models
Pandas
Scikit Learn
Text Files

Job 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., * 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.

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.
  • 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

Benefits & conditions

  • The range for this position is $93,500 to $155,200. 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.)

About the company

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.

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