AI Engineer / Data Scientist, AI Senior Associate

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.

Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:


Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Audit and Assurance team, you will engage in the evaluation and assessment of AI solutions, securing compliance and governance. As a Senior Associate, you will lead efforts in managing AI/ML controls while collaborating with diverse teams to enhance transparency and reporting. This position provides an exciting opportunity to shape the future of AI governance and contribute to innovative thought leadership in the industry.

Responsibilities

- Evaluate and assess AI solutions to confirm compliance with governance standards
- Lead initiatives for managing AI/ML controls across diverse teams
- Enhance transparency and reporting processes within AI projects
- Collaborate with stakeholders to develop innovative thought leadership
- Analyze and interpret data to inform governance strategies
- Provide guidance on recommended practices for AI compliance
- Support the implementation of impactful reporting frameworks
- Drive continuous improvement in AI governance practices

What You Must Have

- Bachelor's Degree
- At least 2 years of experience

What Sets You Apart

- Bachelor's Degree in Statistics, Management Information Systems & Accounting, Accounting & Technology, Business Administration/Management, Regulatory Compliance, Physics, Economics and Finance & Technology, Computer Science, Data Processing/Analytics/Science, or Mathematics preferred
- Experience in AI/ML model and testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems
- Experience with model evaluation frameworks and testing protocols
- Familiarity with data science and AI lifecycle
- Understanding of data governance and model deployment disciplines
- Leading AI/ML and emerging technology control efforts
- Coaching teams on emerging data technologies
- Translating technical concepts for non-technical stakeholders
- Subject matter knowledge to support thought leadership

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.