Risk Services - Program Management (AI Hub) Off-Cycle …, Singapore

At PwC AI Hub (Transformation), we accelerate adoption of network AI priorities and work with key stakeholders to attain investment outcomes. We champion market-facing activities in support of PwC AI brand positioning, and we collaborate with Learning & Development to establish AI business leadership skills to drive innovation and efficiency in the firm.

Our mission is to enable AI adoption, build governance practices, implement AI initiatives and capability building in Singapore aligned to local and global strategies.

Assurance

Not Applicable

Analytics

Intern/Trainee

• Assist in coordinating AI-related activities and ensure consistency in approaches and outcomes.
• Support the onboarding and alignment of AI tools with both local and global strategies.
• Help facilitate collaboration between different Lines of Service (LoS) to promote AI initiatives.
• Monitor, analyse, and report on the usage and impact of AI tools, ensuring visibility of efforts and investments.
• Contribute to AI learning and development programs by coordinating learning & development opportunities for staff firmwide.

• Analytical Skills: Ability to monitor, analyse, and report on AI tool usage and impact, alongside evaluating ROI from investments.
• Communication Skills: Strong verbal and written communication skills to help facilitate cross-LoS collaboration and promote AI initiatives.
• Organizational Abilities: Skills in coordination and project management to support the onboarding of AI tools and manage learning and development opportunities.
• Technical Understanding: Basic understanding of Generative AI technologies and strategies to ensure alignment with local and global AI efforts.
• Teamwork and Collaboration: Ability to work collaboratively across different LoS for community engagement and alignment initiatives.

Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning (ML), Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK).

Not Specified

Yes

Yes