Posted 18 days ago

Risk Services - AI Factory Data Scientist Off-Cycle Internship (Jan - Jun 27)

SingaporeOn-siteFull-time

AI Summary

PwC Risk Services AI Factory Data Scientist intern developing and maintaining generative AI models and data analysis techniques to extract insights, while handling administrative risk management tasks and stakeholder collaboration.

About this role

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Intern/Trainee

Job 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 themto protectand strengthen every aspect of theirbusinessfrom 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 to facilitate collaboration across PwC network and territories to build faster and impactful AI solutions for client service delivery.

Key Responsibilities

As anIntern,your responsibilitiesincludebut are not limited to:

Develop,utilizeand 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.)

Proficientin Python.

Application Notes

Pleaseindicateyour 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 withus atsg_graduate_recruitment@pwc.com

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

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Skills

AI ImplementationComplex Data AnalysisC++ Programming LanguageData AnalysisData InfrastructureData IntegrationData ModelingData PipelineData QualityDeep LearningGenerative AIGPU ProgrammingJava (Programming Language)Machine LearningMachine Learning LibrariesNamed Entity RecognitionNatural Language Processing (NLP)Natural Language Toolkit (NLTK)Python