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PwC is seeking an Associate in Risk Services with a focus on Analytics within the AI Factory to drive AI innovation across the PwC network. You will develop and maintain AI models, work on data analysis techniques and collaborate with stakeholders to deliver impactful client service.
The role calls for a final-year student or recent graduate with strong Python skills and ML exposure. Join a tech-forward, people-empowered network and help build trust by turning complexity into competitive
Assurance
Not Applicable
Analytics
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 Risk Services Practice provides an invaluable safeguard in today’s complex operating environment with insights and independent assurance. We work with clients to deliver business control to help themto protectand strengthen every aspect oftheirbusinessfrom people to performance, systems to strategy, business plans to business resilience. We help clients manage,mitigateand control risks from potential cybersecurity breaches topossible breaksin the supply chain. We assess and prepare businesses by looking into their technology, finance, data analytics, regulatory requirements, data security and privacy, internal audit, and the third parties our clients rely on, to help clients deliver quality results and meet their strategicobjectives.
The AI Factory is dedicated to driving AI innovation and excellence across our network. Our mission is tofacilitatecollaboration across PwC network and territories to build faster and impactful AI solutions for client service delivery.As an Associate, your responsibilitiesinclude but are not limited to:
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Degrees/Field of Study required:
Degrees/Field of Study preferred:
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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, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}
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Not Specified
Yes
No