AI Engineer, Data Scientist, AI Manager

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: $99,000–$252,450 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k

This role $176k

$81k most similar roles pay here $271k

This role pays less than 51% of similar roles. Most pay $150,000–$231,150 — the shaded band above. At the midpoint, this role pays about $176k versus about $191k 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 Manager

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As part of the AI Engineering team within the Digital Assurance & Technology division, the AI Engineer / Data Scientist, AI Manager will lead the development and implementation of advanced machine learning solutions to enhance business processes. This role involves designing and optimizing algorithms, models, and systems to transform raw data into actionable insights while managing complex data analysis and relational database management. The manager is responsible for leading teams, mentoring staff, and overseeing workstreams focused on testing AI system behavior regarding bias, explainability, and failure modes. Key technical requirements include proficiency in Python, programming languages for data modeling, deep learning techniques, and sentiment analysis for text. The role addresses the challenge of ensuring responsible, reliable AI deployment by developing reusable evaluation tools, automated tests, and monitoring capabilities to ensure defensible outcomes for clients.

Skills

Artificial Intelligence Machine Learning Deep Learning Python Data Modeling Data Analysis Text Analytics Pattern Recognition Monitoring Infrastructure Algorithms

What you'll do

Develop and implement advanced AI and machine learning solutions to enhance business processes.
Design and optimize algorithms, models, and systems to enable automated decision-making.
Transform raw data into actionable insights to drive business growth and informed decision-making.
Manage complex data analysis, modeling, and relational database management to improve infrastructure.
Define and review testing approaches for AI behavior, including performance, bias, and explainability.
Develop reusable evaluation tools, automated tests, and monitoring capabilities for responsible AI deployment.
Review technical evidence and controls to ensure findings are clear and defensible.
Mentor team members and manage performance to meet client expectations and quality standards.

What we're looking for

At least a Bachelor's degree.
At least 4 years of experience.
Degree in Analytics, Data Science, AI/Robotics, Computer Science, Information Systems, or Engineering (preferred).
Expertise in AI implementation and complex data analysis (preferred).
Proficiency in Python and other programming languages for data modeling (preferred).
Experience developing data infrastructure and integration strategies (preferred).
Experience implementing machine learning and deep learning techniques (preferred).
Experience leading technical teams supporting production AI deployment, monitoring, evaluation, and incident response (preferred).

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