Financial Services Assurance - AI & Digital Innovation Associate

About the role

PwC is looking for an AI & Digital Innovation Associate to join its Financial Services Assurance practice. You will help audit teams leverage AI, machine learning and automation to improve audit workflows and deliver higher‑quality insights for clients in asset management, banking, capital markets and insurance.

Key responsibilities

• Analyse audit workflows to identify automation and AI opportunities.
• Collaborate with senior auditors and risk assurance professionals to translate audit needs into practical AI solutions.
• Support design, development, testing and validation of AI/ML models, including classical ML, NLP and generative AI applications.
• Help build AI‑enabled tools such as intelligent assistants, workflow automation solutions and knowledge‑retrieval systems.
• Participate in prototyping, validating and deploying AI solutions from concept to production.
• Assist with data preparation, integration and maintenance of data pipelines across audit, finance, risk and enterprise systems.
• Work with diverse data types, including financial data, audit workpapers, policies, reports and business documents.
• Create documentation, training materials and support user adoption for new AI and automation tools.
• Stay updated on emerging AI, automation and audit technology trends and assess their relevance.
• Ensure compliance with firm policies, regulatory standards, data‑privacy requirements and responsible AI principles.

Required profile

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering or a related field.
• Foundational understanding of AI, machine learning, data analytics, generative AI or automation technologies.
• Hands‑on exposure to AI/ML concepts and their application in a business context.
• Interest in financial services, risk assurance, audit or compliance.

Required skills

• Python programming
• R programming
• SQL
• Machine learning model development
• Natural Language Processing (NLP)
• Generative AI techniques
• Data pipeline design and maintenance