AI Engineer / Data Scientist, AI Senior Associate

PricewaterhouseCoopers•Raleigh, NY

23h

About The Position

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. 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.

Requirements

Bachelor's Degree
At least 2 years of experience
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

Nice To Haves

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

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