Risk Services - AI Factory Data Scientist Internship (Jul - Dec 26)

PwC is offering a Risk Services - AI Factory Data Scientist Internship (Jul - Dec 26) in Singapore. Posted July 16, 2026. Checked against the employer's posting on November 12, 2026.

Line of Service Assurance Industry/Sector Not Applicable Specialism Analytics Management Level Intern/Trainee Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes.

Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. 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. Responsibilities: You will be assisting the team in the following areas: • 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. Requirements: • Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.

) • Proficient in Python. 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 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship?

Yes Government Clearance Required?