Payer Healthcare Data Scientist, Manager at PwC
Raleigh, NC
$99,000–$232,000from the description
Jul 27, 2026
Raleigh, NC
Jul 29, 2026
What this job asks for AI summary
A Manager-level data science role within PwC's Operations Consulting practice, focused on applying machine learning and advanced analytics to large-scale healthcare claims, clinical, and member data for payer clients. The work centers on surfacing cost-reduction and population health insights, contributing to commercial analytics product development, and leading project teams while managing client relationships with senior stakeholders such as Chief Actuaries.
Senior level · 6+ years · Bachelor's required · Full-time
Advertised as Mid, but the requirements read as Senior.
Posted 10 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
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 29, 2026. It is a model, not a headcount.
Why we read it this way (5)
The title 'Manager' at PwC is a mid-ladder consulting grade (above Senior Associate, below Senior Manager/Director), so the level advertised in the title is set to Mid; however, the 6+ years of data science/ML experience and team leadership scope support a Senior classification.
No specific location is stated in the posting; the salary range spans a wide band ($99K–$232K) consistent with PwC's national multi-location postings. No CBSA could be determined.
The 'What Sets You Apart' section is explicitly framed as preferred/differentiating rather than required — all skills drawn from it (Statistics, NLP, NCQA HEDIS, CMS Star Ratings, Medicaid) are marked preferred accordingly.
Skills such as 'contributing to commercial analytics product development' and 'social determinants of health data integration' were omitted as they name no specific technology or tool.
A Master's degree in Statistics, Computer Science, Applied Mathematics, or Biotechnology is listed as preferred, not required; the hard minimum is a Bachelor's degree.
Read the full posting
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