At PwC, our audit and assurance professionals deliver independent and objective assessments of financial statements, internal controls, and other assurable information, enhancing credibility and reliability for stakeholders. In data, analytics, and technology solutions, we collaborate with clients to build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve harnessing advanced analytics, data‑wrangling technology, and automation tools to establish the right processes and structures that enable accurate, complete, and trustworthy decision‑making.
Skills
- Respond effectively to diverse perspectives, needs, and feelings of others.
- Utilise a broad range of tools, methodologies, and techniques to generate new ideas and solve problems.
- Apply critical thinking to break down complex concepts.
- Understand the broader objectives of projects or roles and how individual work aligns with overall strategy.
- Develop a deeper understanding of the evolving business context.
- Use reflection to enhance self‑awareness, build strengths, and address development areas.
- Interpret data to inform insights and recommendations.
The Opportunity
- As part of the AI Tech team, you will lead teams and manage client accounts for successful project delivery.
- As a Senior Associate, you will analyze complex problems, mentor junior staff, and maintain high standards while delivering technology‑enabled, data‑driven solutions.
- This role offers the chance to cultivate meaningful client relationships and employ strategic thinking using advanced technologies such as AI and cloud solutions.
Responsibilities
- Manage auditing, consulting, and testing engagements with a focus on solution implementation.
- Deliver innovative, technology‑driven solutions utilizing data analytics.
- Support strategic planning and execution of client projects.
- Maintain knowledge of and compliance with current and emerging standards.
- Enhance project delivery using firm methodologies, technology resources, and data visualization tools.
- Uphold and reinforce professional and technical standards, the Firm’s code of conduct, and independence requirements.
What You Must Have
- Bachelor’s degree.
- 4–8 years of specific professional experience in one or more of the following areas: AI/ML model 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, testing protocols, and/or trust standards such as NIST AI Risk Management Framework or responsible AI practices.
- Familiarity with the data science/AI lifecycle and related data governance, data engineering, and model deployment disciplines, as well as data science/AI development technologies.
- Knowledge of AI concepts and how use cases are applied across business functions.
What Sets You Apart
- Preferred fields of study include Computer Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Mathematics, Physics, Economics and Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory Compliance.
- Leveraging an understanding of fundamental and technological risks, processes, and internal controls related to transparency, reporting, and artificial intelligence.
- Knowledge of NIST, ISO, or other leading business and risk management frameworks for AI.
- Experience designing and developing AI governance operating models, technical standards, policies and procedures.
- Operating within essential internal processes of a professional services firm.
- Demonstrated knowledge of legal and regulatory landscapes relevant to AI.
- Managing projects assessing governance, risk, and control programs.
- Leading AI/ML and emerging technology control efforts.
- Familiarity with TensorFlow, PyTorch, or LangChain coding frameworks and cloud platforms.
- Coaching teams on emerging data technologies and analytics‑driven assessments.
- Translating technical concepts for non‑technical stakeholders.
- Subject‑matter knowledge to support the development of thought leadership.