Risk Services - AI Factory Data Scientist Off-Cycle Internship (Jan - Jun 27)
Pwc
·Jul 1, 2026
- Location
- Singapore - Marina One
- Type
- Internship
- Department
- Education
- Seniority
- Internship
- Clearance
- Not required
- Source
- Workday
Description
Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
AnalyticsManagement Level
Intern/TraineeJob Description & Summary
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.About Risk Services
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.
Key Responsibilities
As an Intern, your responsibilities include but are not limited to:
- Develop, utilize and maintain Generative AI models and other data analysis techniques to collect, explore and extract insights from data.
- Handle administrative tasks in risk management by effectively communicating and collaborating with various stakeholders.
What We Are Looking For
- Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.)
- Proficient in Python.
Application Notes
Please indicate your first-choice role and, where applicable, a second-choice role, based on your skills, interests, and career aspirations.
Only shortlisted candidates will be notified due to the high volume of applications.
Kindly upload both your resume and academic transcript/degree audit in PDF format
Have questions? Get in touch with us at [email protected]
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)
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, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date