Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
AnalyticsManagement Level
Intern/TraineeJob Description & Summary
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.As an AI Hub Transformation intern your responsibilities and requirements are as follows:
Responsibilities:
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
Requirements:
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.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback 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) 20 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
YesGovernment Clearance Required
YesJob Posting End Date
Required Experience:
Intern
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