Data Scientist at Capgemini
Cary, NC
$85,786–$97,273from the description
Jul 27, 2026
Cary, NC
Jul 28, 2026
What this job asks for AI summary
This senior-level Data Scientist role at Capgemini focuses on designing, building, and deploying production-grade machine learning, predictive analytics, and Generative AI solutions for clients in the insurance and financial services sectors. Day-to-day work spans the full ML lifecycle — from model development and MLOps to stakeholder communication and executive-level reporting — with a strong emphasis on marketing, customer engagement, and revenue analytics use cases. The position is onsite/hybrid in Cary, NC.
Senior level · 8+ years · Charlotte-Concord-Gastonia, NC-SC · 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 110 people in the Charlotte-Concord-Gastonia, NC-SC area plausibly meet what this posting asks for (data scientists). range 55–140
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $135,373 (middle half $99,450–$169,109). 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 (7)
The job posting lists two locations: Cary, NC (in the body, as the primary work location) and Atlanta, GA (in the footer metadata). The CBSA is set to Raleigh-Cary, NC based on the body text, which is the more authoritative source.
The degree requirement states 'Bachelor's or Master's degree … or a related quantitative field.' Because a Bachelor's is listed as the minimum and no equivalent-experience substitution is offered, this would normally be Bachelors — however, the posting lists both degrees as acceptable minimums without clearly gating on one, and the phrasing is standard enough that degree requirement is set to None to avoid over-constraining the pool.
Azure Machine Learning and Domino Data Lab are listed together as alternatives in the required qualifications ('Azure Machine Learning, Domino Data Lab, Power BI, or similar'); Power BI is separated as its own skill since it serves a distinct function (visualization/BI) rather than being a substitute for an ML platform.
Generative AI, LLMs, and MLOps appear under the Preferred Qualifications section and are marked accordingly.
The 5+ years of insurance/financial services industry experience is a domain knowledge requirement, not a named technology, so it is captured in the overall years minimum context only and not emitted as a skill.
The posted compensation range ($85,786–$97,273/year) appears notably low for a role requiring 8+ years of Data Science experience in the Raleigh-Cary or Atlanta market; the posting itself notes actual offers may fall outside this range.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Predictive Modeling.
Read the full posting
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