AI Strategy Lead & Data Scientist

PwC; Detroit (MI); On-site; USD 99,000 - 252,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k

Holiday pay

Vacation

Sick leave

Job summary

PwC is seeking a Manager in your AI Engineering team within Digital Assurance & Technology in Detroit. You will lead AI/ML solution delivery, drive data-driven decision support, and mentor staff while ensuring quality and integrity across client engagements.

You will design, test, and optimize AI systems, manage complex data environments, and uphold professional standards. This role emphasizes client collaboration, innovation, and responsible AI deployment.

Qualifications

• Bachelor's degree required.
• Minimum 4 years of experience in AI/ML or related field.
• Experience leading AI/ML initiatives and client-facing delivery.
• Strong programming in Python and data modeling skills.

Responsibilities

• Lead development and implementation of advanced AI/ML solutions.
• Design and optimize algorithms, models, and data systems.
• Transform data into actionable insights for decision making.
• Manage complex data analysis and data integration.
• Oversee data modeling and relational databases for robust solutions.
• Mentor team members and manage performance for clients.
• Address conflicts with clients and stakeholders.
• Uphold firm standards and independence requirements.
• Encourage skill development and teamwork.
• Define and review testing approaches for AI systems.

Skills

AI/ML leadership

Python

Data modeling

Team mentorship

Education

Bachelor's degree

Tools

Relational databases

Job description

PwC is seeking a Manager in your AI Engineering team within Digital Assurance & Technology in Detroit. You will lead AI/ML solution delivery, drive data-driven decision support, and mentor staff while ensuring quality and integrity across client engagements.

You will design, test, and optimize AI systems, manage complex data environments, and uphold professional standards. This role emphasizes client collaboration, innovation, and responsible AI deployment.