Associate AI Engineer / Data Scientist

Assurance

FS X-Sector

Assurance

Associate

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum. Find out more at www.pwc.com.

Our Financial Services Assurance Practice works with organisations to strengthen trust and transparency by building, maintaining and providing trust over financial reporting in a fast changing, technology-driven world. As Asia’s top financial services practice, our audit approach is at the leading edge of best practice. We draw upon our extensive industry knowledge for our clients including top blue chip companies in the asset management, banking, capital markets, and insurance sectors. We provide our clients with insights, empowered by leading technologies, into marketplace developments and global opportunities.

As an Associate AI Engineer / Data Scientist, you will work as part of the Financial Services Assurance Digital Innovation Garage to design, build and support practical data, analytics and AI-enabled automation solutions. You will help translate business and audit challenges into data-driven use cases, prepare and analyse datasets, develop machine learning or AI-assisted prototypes, and support senior team members in testing, documenting and operationalising solutions in a responsible and controlled manner.
 

• Develop, test and maintain data analytics, machine learning and AI-assisted automation solutions using tools such as Python, SQL, Power BI, Power Automate, Alteryx or similar technologies.

• Perform data extraction, cleansing, transformation, validation and exploratory analysis to support audit, assurance and internal innovation use cases.

• Support the development of AI and machine learning prototypes, including feature engineering, model evaluation, prompt engineering, retrieval-augmented generation concepts and responsible use of large language models where applicable.

• Collaborate with audit, risk, technology and innovation teams to understand requirements, clarify problem statements and convert ideas into workable proof-of-concepts or production-ready components.

• Document assumptions, data handling steps, testing results, limitations and user guidance in a clear and structured manner.

• Demonstrate critical thinking, curiosity and a willingness to learn new technologies while bringing structure to ambiguous or unstructured problems.

• Communicate progress, risks, blockers and outcomes confidently to senior team members and stakeholders.

• Uphold the firm’s code of ethics, business conduct, data protection expectations and responsible AI principles.
   

Minimum Years Of Experience

• 1–3 years of relevant experience in data science, AI engineering, machine learning, analytics engineering, intelligent automation or technology-enabled process improvement. Candidates with strong internship, academic or project-based exposure in AI/ML and data analytics may also be considered.

Not Specified

Accepting Feedback, Access Control (AC), Active Listening, Audit Internal Controls, BASIS Database Management System (DBMS), Business Process Improvement, Communication, Emotional Regulation, Empathy, ERP System Integration, Inclusion, Intellectual Curiosity, IT Controls, Optimism, Process Control, SAP ERP, SAP Governance, Risk and Compliance (GRC), SAP HCM, SAP Supply Chain Management (SAP SCM), Security Control, Security Control Assessment, SOX Compliance, Teamwork, Well Being

Yes

Yes