Data Scientist

Posted Yesterday
6 Locations
In-Office
94K-155K Annually
Junior
Automotive • Insurance
The Role
Build and deploy predictive models and applied LLM solutions to support claims operations (fraud, subrogation, damage severity, triage, quality). Automate modeling pipelines, improve internal modeling capabilities and data infrastructure, monitor deployed solutions, and communicate technical results to non-technical stakeholders.
Summary Generated by Built In

Location(s)

Alpharetta, Georgia, Austin, Texas, Birmingham, Alabama, Boston, Massachusetts, CORP-Randolph-Chicago-IL, Dallas, Texas

Details

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:

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. 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.

Position Qualifications:

  • 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

  • Sponsorship is not accepted for this opportunity

  • 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.)

  • This is a hybrid role and can be worked out of a local Kemper corporate location

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles.  Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email.  Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates.  If you receive such a message, delete it.  

#LI-JO1 

#LI-HYBRID

Skills Required

  • Proficient in Python (scikit-learn, pandas, numpy, scipy, etc.).
  • Proficiency with modeling techniques (GLMs, decision trees, ensembles, regularized models, clustering, neural networks).
  • Prior experience working with AWS.
  • Some experience with natural language processing (NLP).
  • Some experience working with LLMs via API.
  • Ability to work with various data formats (relational databases, delimited text files, data frames, JSON).
  • Excellent communication skills; translate technical results for non-technical audiences.
  • Graduate degree in a quantitative field (Mathematics, Statistics, CS, Physics, MIS, Economics, EE, etc.).
  • 2+ years' experience in a data science/predictive analytics environment.
  • Self-directed and able to work with little supervision.

Kemper Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kemper and has not been reviewed or approved by Kemper.

  • Retirement Support A 401(k) with company match and immediate vesting is paired with an Employee Stock Purchase Program, and an HSA employer contribution is noted for the HDHP option. These features strengthen long-term savings and financial security beyond base pay.
  • Healthcare Strength Comprehensive coverage includes medical, dental, vision, prescription, life and disability insurance, an EAP, and wellness programs. While plan costs vary by option and location, the breadth of core coverage is a clear pillar of the package.
  • Leave & Time Off Breadth PTO, paid holidays, sick time, and paid volunteer time are available alongside paid parental leave and other leave programs. This scope supports time away for rest, family needs, and community engagement.

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The Company
HQ: Chicago, IL
6,436 Employees
Year Founded: 1990

What We Do

The Kemper family of companies is one of the nation’s leading specialized insurers. With approximately $15 billion in assets, Kemper is improving the world of insurance by providing affordable and easy-to-use personalized solutions to individuals, families and businesses through its Auto, Personal Insurance, Life and Health brands. Kemper serves over 6.6 million policies, is represented by approximately 34,000 agents and brokers, and has approximately 10,000 associates dedicated to meeting the ever-changing needs of its customers.

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