Data Scientist at Kemper
Alpharetta, GA
$93,500–$155,200from the description
Jul 17, 2026
Alpharetta, GA
Jul 21, 2026
What this job asks for AI summary
A data science role embedded in an insurance claims operation, focused on building and deploying predictive models and large language model solutions for use cases such as fraud detection, subrogation identification, vehicle damage assessment, and claims quality management. The position also involves automating modeling pipelines and monitoring live solutions. It suits candidates with a graduate degree in a quantitative discipline and hands-on experience with Python-based machine learning workflows.
Mid level · 2+ years · Chicago-Naperville-Elgin, IL-IN-WI · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 150 people in the Chicago-Naperville-Elgin, IL-IN-WI area plausibly meet what this posting asks for (data scientists). range 40–200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $110,007 (middle half $86,460–$141,249). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role is posted across multiple US locations (Alpharetta GA, Austin TX, Birmingham AL, Boston MA, Chicago IL, Dallas TX); Chicago is used as the primary CBSA since the corporate location listed is Randolph-Chicago-IL, but compensation and requirements apply across all sites.
The JD states 'Graduate degree required in a quantitative field' — this is treated as a hard Masters minimum. A Doctorate would also satisfy it, but Masters is the floor.
The '2+ years' experience figure appears under qualifications framed as 'preferred', so it is captured as the overall years minimum at the minimum stated value but note that the JD softens it with 'preferred' — it may not be a strict gate.
AWS is explicitly called 'a plus'; NLP and LLM API experience are both explicitly marked 'preferred' or 'preferred but not required' — all three are listed as preferred accordingly.
The modeling techniques (GLMs, decision trees, ensemble learning, regularized models, clustering, neural networks) are listed in the required qualifications block and are treated as hard gates on modeling knowledge, even though no single specific tool is named beyond the Python libraries.
Read the full posting
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