Data Scientist
RELX INC · Alpharetta, GA
$95,300–$158,800from the description
Jul 22, 2026
Alpharetta, GA
Jul 23, 2026
What this job asks for AI summary
A senior-level data science role on an auto insurance rating analytics team, focused on building and maintaining predictive models — primarily GLMs applied to credit-based insurance risk data — as well as developing new analytical approaches and supporting junior colleagues. The work involves handling large, complex datasets in distributed computing environments using Python, R, and SQL, with cloud platforms as a plus.
Mid level · 3+ years · Full-time
Advertised as Senior, but the requirements read as Mid.
“or” means any one of them counts — you don't need all of them.
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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). 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 (8)
The role is titled 'Sr. Data Scientist I', which LexisNexis appears to use as an internal level designation. The title presents as Senior, but the minimum experience gate is only 3+ years — consistent with a Mid-level role on a standard career ladder.
A Bachelor's degree in a quantitative field is listed in the Requirements section, but the JD explicitly accepts 'equivalent years of experience' as a substitute, so no formal degree is hard-required.
Master's/Ph.D. and actuarial experience/certification are explicitly marked 'preferred' in the Requirements section.
The JD lists 'strong expertise in one or more of R, Python, SQL, or equivalent analytic software' as a single requirement; Python is separately called out as required in the body text, so Python is treated as a hard gate. R and SQL are captured as required alternatives within that same gate.
The R packages (rpart, party, caret) and new-technology items (PySpark, ECL, Azure/AWS ML Services) appear in a 'strong ability to learn' framing rather than a demonstrated-expertise gate, so they are marked preferred.
'party' (an R package) is mentioned in the posting but omitted as a skill because it is an extremely niche alias that would not be searched independently; the broader R ecosystem is captured via rpart and caret.
Cloud experience is explicitly called 'preferred' in the posting body.
No specific work location or CBSA is stated; the posting references a 'U.S. National Base Pay Range', indicating a US-based role with no single metro.
Read the full posting
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