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Be ready to explain past data projects end-to-end, how you validate results, and how AI outputs fit risk or audit-adjacent contexts. Expect case-style reasoning, basic ML/stats questions, and motivation for PwC Risk Services and a Singapore internship.
Strong fit if you want hands-on AI/data science inside a large professional-services risk practice, prefer structured internship timelines, and can work on-site in Singapore rather than remote.
As an off-cycle Risk Services AI Factory Data Scientist intern (Jan–Jun), expect work on risk-focused data problems: exploring datasets, building or testing models, documenting assumptions, and supporting senior data scientists and risk teams. Days likely mix coding/analysis, stakeholder check-ins, and quality checks suitable for a fixed internship window at PwC Singapore.
Useful foundations for this title: Python (or similar) for data work, statistics/ML basics, clear communication of model limits, and risk or controls awareness. No certification resources or costs were supplied for this listing.
No. The listing marks the role as non-remote and based in Singapore.
The title indicates an off-cycle placement from January through June (year as stated in the posting).
It points to applied data science supporting Risk Services—building and testing AI/data solutions within PwC’s risk practice rather than a pure academic research post.
Website: pwc.com/gx/en
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Risk Services - AI Factory Data Scientist Off-Cycle Internship (Jan - Jun 27) at PricewaterhouseCoopers in Singapore The Opportunity PricewaterhouseCoopers is seeking a talented and innovative Data Scientist for an exciting off-cycle internship position. This role will be based in Singapore, offering full-time employment from January to June 2027. As part of the AI Factory team, you will contribute to cutting-edge projects that leverage artificial intelligence and data analytics to enhance risk management strategies. Core Duties Analyze complex datasets to identify trends and patterns using advanced statistical methods and machine learning techniques. Develop predictive models and algorithms for risk assessment and mitigation in various sectors, including financial services, healthcare, and technology. Collaborate with cross-functional teams to integrate data-driven insights into strategic decision-making processes. Ensure the accuracy and reliability of data through rigorous validation and quality control measures. What We're Looking For A recent graduate or a current student pursuing a degree in Data Science, Statistics, Computer Science, or related field. Strong proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks and tools like TensorFlow, Scikit-learn, or PyTorch is highly desirable. Excellent problem-solving skills and the ability to work independently while maintaining a collaborative approach. About the Company PricewaterhouseCoopers (PwC) is a global network of firms with over 364,000 professionals across 136 countries. We are dedicated to helping our clients build trust and reinvent themselves in an increasingly complex world. Our team combines technical expertise with strategic insights to deliver innovative solutions that drive business growth. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. We look forward to hearing from you!
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