Data Scientist I (DSAP) at RELX INC
Alpharetta, GA
$59,200–$98,600from the description
Jul 28, 2026
Alpharetta, GA
Jul 29, 2026
What this job asks for AI summary
An entry-level data scientist position within a structured two-year rotational program (DSAP) at LexisNexis Risk Solutions' Insurance Analytics division. The role involves supporting dataset preparation, applying statistical and machine learning techniques under senior guidance, contributing to predictive model development, and building data visualizations — all within the insurance risk and analytics domain. Suited to recent graduates with coursework in Python or R and an interest in applied data science.
Junior level · Atlanta-Sandy Springs-Alpharetta, GA · Bachelor's required · 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
Roughly 1,550 people in the Atlanta-Sandy Springs-Alpharetta, GA area plausibly meet what this posting asks for (data scientists). range 1,150–2,000
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $111,336 (middle half $92,500–$147,851). 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 29, 2026. It is a model, not a headcount.
Why we read it this way (5)
This is a structured two-year rotational program (Data Science Accelerator Program / DSAP), which is effectively a post-graduate entry-level role — classified as Junior accordingly.
Python and R are listed as a single interchangeable requirement under the Requirements section ('Coursework or project experience in Python or R'), so they are captured as one skill with R as the alternative.
SQL is listed as 'a plus' in the Requirements section, so it is marked as preferred.
Data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) are described as 'desirable' and 'exposure to' — marked as preferred, with all four named tools captured as alternatives under a single skill.
The compensation range ($59,200–$98,600/year) is stated as a US national base pay range with a note that geographic differentials may apply.
Read the full posting
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