AI Engineer / Data Scientist, AI Senior Associate

PWC

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYStamford, CTLos Angeles, CAChicago, ILWashington, DCBoston, MADetroit, MIFlorham Park, NJDallas, TXSan Francisco, CAPhiladelphia, PA
Salary
$72,000–$184,440 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $128k
$54k most similar roles pay here $243k

This role pays less than 88% of similar roles. Most pay $151,000–$216,312 — the shaded band above. At the midpoint, this role pays about $128k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 108 open roles on FindRole.

Listed pay typically runs $99,000–$252,450 across 105 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · AI Engineer / Data Scientist, AI Senior Associate

As an AI Engineer / Data Scientist, AI Senior Associate within the Digital Assurance & Technology team, you will transform raw data into actionable insights to drive business growth and informed decision-making. You will design and optimize machine learning algorithms, build data infrastructure, and develop tools for speech recognition and natural language processing. Your daily work involves independently owning workstreams to test AI-enabled systems for performance, bias, explainability, and failure modes while evaluating technical controls and evidence. To succeed, you must possess a Bachelor’s degree and experience in complex data analysis using Python. You will apply machine learning and deep learning techniques to ensure responsible deployment through monitoring and guardrails. This role focuses on the assurance practice, where you will solve problems related to automated systems, data quality, and robust AI model integration for various client solutions.

What you'll do

  • Design and optimize AI and machine learning algorithms to enhance business processes and drive innovation.
  • Transform raw data into actionable insights to support informed decision-making and business growth.
  • Develop and implement advanced AI solutions using programming languages such as Python.
  • Build and maintain data infrastructure and integration systems to support complex data analysis.
  • Design and execute tests for AI system behavior, including performance, robustness, bias, and explainability.
  • Evaluate technical controls and evidence while documenting findings, limitations, and recommendations.
  • Create reusable evaluation tools, automated tests, reference datasets, and monitoring capabilities.
  • Translate technical findings and limitations into clear insights for clients and non-technical stakeholders.

What we're looking for

  • At least a Bachelor's degree.
  • At least 2 years of experience.
  • Proficiency in AI implementation and complex data analysis (preferred).
  • Experience using programming languages such as Python for data modeling (preferred).
  • Expertise in machine learning and deep learning techniques (preferred).
  • Experience integrating data infrastructure and quality management in projects (preferred).
  • Experience owning production AI systems across deployment, monitoring, evaluation, and incident response (preferred).
  • Ability to evaluate failure modes, bias, drift, hallucinations, explainability, and guardrails (preferred).

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