As a Finance (Finance Data & Systems) Intern,  you'll join our Finance Data & Systems (FDS) Team under the Finance Department, supporting the systems and data that power PwC's finance function. Your responsibilities will include: 

• Support daily operations. Perform daily operational actions within Finance systems to keep core processes running smoothly. 

• Safeguard data quality. Conduct data quality checks and maintenance to ensure accuracy and reliability across Finance systems. 

• Build insights with data. Help build statistical reports and dashboards (data analytics) and prepare reports that support business decisions. 

• Drive transformation. Contribute to finance transformation initiatives that maximise efficiency — including writing policies, SOPs, and process documentation. 

• Innovate with automation. Get involved in ad-hoc projects and automation initiatives, exploring how technology can elevate the way Finance works. 

• Embrace AI and emerging technology. Use tools such as Microsoft Copilot, ChatGPT, and other GenAI platforms to enhance productivity, reporting quality, and knowledge sharing. 

• Learn from the best. Be coached and mentored by experienced finance and data practitioners committed to your growth, with access to PwC's world-class learning environment. 

What we're looking for: 

We welcome curious, technically minded students who are excited to build a career at the intersection of finance, data, and technology. 

• Finance, Data Science, or Business Analytics students from local or overseas universities preferred. 

• Students from adjacent disciplines (e.g., Accountancy, Information Systems, Computer Science, Mathematics) with a strong demonstrated interest in finance and data are equally welcome to apply. 

• Proficiency in Power BI, Power Automate, Power Apps, or Alteryx would be an advantage. 

• Familiarity with current technologies, including Microsoft Copilot, ChatGPT, and prompt engineering, is advantageous. 

• Strong Microsoft Excel skills, with the ability to work confidently with data. 

• Keen to develop yourself in the profession and take ownership of your learning journey. 

• Highly motivated, enthusiastic, confident, and creative, with a growth mindset. 

• Strong interpersonal and communication skills, with the ability to translate technical ideas into clear business value. 

• Service-oriented, with a genuine commitment to teamwork and excellence.