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About
Position Summary The Kemper Claims Data Science team has an opening for a Data Scientist to build and deploy predictive models and applied LLM-based solutions.
Position Responsibilities
Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in fraud detection, subrogation identification, vehicle damage severity, adjuster triage, and claims quality management.
Develop and automate predictive modeling processes that can be deployed throughout the organization to solve recurring analytics needs.
Contribute to improving internal modeling capabilities and data infrastructure by suggesting and applying tweaks to existing processes.
Monitor deployed solutions and raise escalations as needed.
Position Qualifications
Proficient in Python with libraries such as scikit-learn, pandas, numpy, scipy, etc.
Experience with multiple modeling techniques: generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/net), clustering, and neural networks.
Prior experience with AWS is a plus.
Experience with natural language processing is preferred.
Experience working with LLMs via API is preferred but not required.
Ability to work with various data formats: relational databases, delimited text files, data frames, and JSON.
Excellent communication skills, especially translating technical results for non‑technical audiences.
Graduate degree 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.
Salary range: $93,500 to $155,200. Eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k).
Remote role: can be worked out of any U.S. home with occasional travel.
Benefits
Qualify for health and dental plans within your first month.
Robust 401(k) match, Health Spending Accounts, and other retirement plans.
Tuition assistance, paid certifications, and continuing education programs.
Community contribution through United Way and volunteer programs.
Paid time off and business casual dress code.
Employee discounts for shopping, dining, and travel.
Kemper is proud to be an equal‑opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other protected class. 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.
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Languages
- English
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