PwC
Risk Services - AI Factory Data Scientist Off-Cycle Internship - Jan - Jun 27
International internshipsAI/ML/DataNewPosted today
- Location
- Singapore
- Type
- International internships
Apply nowOpens PwC’s application page
PwC
From PwC’s careers page.
Assurance
Not Applicable
Analytics
Intern/Trainee
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 them to protect and strengthen every aspect of their business from people to performance, systems to strategy, business plans to business resilience. We help clients manage, mitigate and control risks from potential cybersecurity breaches to possible breaks in 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 strategic objectives.
The AI Factory is dedicated to driving AI innovation and excellence across our network. Our mission is to facilitate collaboration across PwC network and territories to build faster and impactful AI solutions for client service delivery.
As an Intern, your responsibilities include but are not limited to:
There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email addresses.
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)
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries {+ 23 more}
Desired Languages (If blank, desired languages not specified)
0%
No
No