AI Engineer / Data Scientist, AI Experienced Associate
PwC · Detroit, MI
$63,000–$141,500from the description
Jul 17, 2026
Detroit, MI
Jul 21, 2026
What this job asks for AI summary
A role on an AI engineering team focused on designing, building, and deploying machine learning models and AI-powered software systems for client-facing applications. Day-to-day work spans data wrangling, algorithm development, and cross-functional collaboration with data scientists, ML engineers, and product teams. Suited to early-career candidates with a background in computer science, data science, or a related field and at least some hands-on AI or ML experience.
Junior level · 1+ years · National · 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
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 (4)
The hard requirements are extremely minimal — only a bachelor's degree and 1+ year of experience. Everything else, including field of study, certifications, cloud platforms (AWS, Google Cloud, Azure, Databricks, Snowflake), and AI/ML proficiency, appears under a 'What Sets You Apart' heading, which is a preference/nice-to-have framing rather than a gate.
No specific location is stated in the posting; PwC typically fills this role across multiple US offices. The compensation range ($63,000–$141,500/year) is very wide, consistent with a multi-city, multi-level posting.
The role blends data science (ML modeling, algorithms, data wrangling) with software engineering (building and deploying AI systems), making the SOC classification genuinely ambiguous between 15-2051 (Data Scientists) and 15-1252 (Software Developers). The emphasis on 'designing AI systems' and 'software implementation' gives software development roughly equal weight, hence the alternate code.
The 1-year minimum experience and entry-level framing ('What You Must Have') support a Junior seniority classification despite the broad salary ceiling, which likely reflects geographic and level variation across a large firm.
Read the full posting
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