Senior Data Scientist I
RELX INC · Alpharetta, GA
$95,300–$158,800from the description
Jul 14, 2026
Alpharetta, GA
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on building and maintaining data attributes that feed into insurance risk products. Day-to-day work involves designing, coding, testing, and troubleshooting attributes using languages such as Python, ECL, R, and KEL, while coordinating with modeling, technology, and product teams. The role also carries responsibility for mentoring junior analysts and independently leading projects from design through production deployment.
Senior level · National · Full-time
“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 (5)
The posting lists no specific location beyond a U.S. national pay range ($95,300–$158,800/year); no CBSA or state could be determined. Geographic differentials are noted as potentially applicable.
Python, ECL, and R are listed together in the Requirements section as 'Python, ECL, R, or similar languages' — a substitution qualifier. Python is emitted as the primary required skill with ECL and R as named alternatives. ECL and R are also separately listed as preferred because they appear independently in the Responsibilities section as tools the role actively uses, suggesting familiarity with all three is expected in practice even if any one satisfies the gate.
KEL (Knowledge Engineering Language) is a domain-specific language central to the role's core deliverable (attribute development and code conversion) and is referenced throughout both Responsibilities and Requirements; it is treated as a hard requirement despite not being named explicitly in the Requirements skills list, as the entire role is built around it.
The role is classified as Data Scientist (15-2051) given the emphasis on statistical expertise, data mining, model-ready feature/attribute engineering, and analytics workflows. Operations Research Analyst (15-2031) is noted as a plausible alternative given the BI/decisioning and attribute-monitoring aspects, but the modeling and data science framing is dominant.
No minimum total years of experience is stated in the posting.
Read the full posting
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