Financial Services Assurance: AI/Data Automation Intern

PricewaterhouseCoopers (PwC)

Singapore

On-site

SGD 30,000 - 42,000

Part time

14 days+
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Job summary

PwC Singapore's Digital Innovation Garage (DIG) internship offers hands-on exposure to data-driven audits. You will contribute to projects involving Python, SQL, and AI-enabled workflows within our Financial Services Assurance practice.

You'll collaborate with cross-functional teams, assist in data cleansing and analytics, and help build practical solutions that enhance audit quality and efficiency.

Qualifications

  • Basic to intermediate exposure to Python/SQL with interest in clean, maintainable code.
  • Familiarity with software development concepts and version control is a plus.
  • Experience building data-driven solutions through coursework, internships, or projects.
  • Interest in AI-enabled workflows, prompt design, and multi-step automation.
  • Exposure to APIs, REST services, and system integration is advantageous.
  • Understanding of data handling, data analysis and collaborative work in teams.

Responsibilities

  • Assist DIG team in gathering and analyzing data requirements and testing data solutions.
  • Support data solution assessments, provide point-of-view and recommendations.
  • Work on digital solution projects involving Python, SQL and related tools.
  • Contribute to data cleansing, data quality, and analytics efforts.
  • Develop dashboards and data visuals using Power BI/Tableau to deliver insights.
  • Explore AI/ML use cases and assist in building AI-enabled audit tools.

Skills

Python
SQL
Excel VBA
Power Automate
AI/ML basics

Education

Computer Science / Software Development

Tools

Power BI
Tableau
OpenAPI / REST
Git

Job description

PwC Singapore's Digital Innovation Garage (DIG) internship offers hands-on exposure to data-driven audits. You will contribute to projects involving Python, SQL, and AI-enabled workflows within our Financial Services Assurance practice.

You'll collaborate with cross-functional teams, assist in data cleansing and analytics, and help build practical solutions that enhance audit quality and efficiency.

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