PwC 2027 Data Science Graduate Programme.

PwC is a tech-forward, people-empowered network. With deep expertise and advanced capabilities, we help clients harness technology, make smart investments, and be ready for any future.

Actuarial, Risk & Quants (ARQ) is a global team within PwC that provides actuarial, quantitative, data analytics and financial consulting services to a wide range of clients.

Benefits

What will you gain from joining

• A blend of commercial, technical and data science experience working with multinational clients across industry sectors and countries.  
• Structured technical training in a suite of data analytics/visualisation tools (e.g. Python, Power BI, Alteryx, SQL)  
• A broad base of analytical skills spanning data analysis and visualisation, machine learning and statistical modelling.  
• A solid foundation of programming skills, software development, web-based application development, and cloud computing.  
• Communication skills and business acumen through interaction with and presentation to a wide range of client stakeholders, including CFOs and CEOs.  
• Opportunities to develop project management and interpersonal skills, allowing you to build collaborative working relationships at all levels. You will be engaging directly with senior members of our clients, solving their business problems and helping them generate value whilst working alongside leading professionals in fields such as big data, predictive analytics, machine learning and data visualisation.

Requirements

PwC are looking for an honours degree (or a four-year honours equivalent) or higher in: 

• B Data Science / BSc Data Science  
• BCom Informatics or Information Systems  
• BCom Statistics  
• BSc Applied Mathematics  
• BSc Mathematics  
• BSc Applied Statistics  
• BBus Sci Analytics  
• BBus Sci Computer Science  
• BBus Sci Information Systems  
• BSc Computer Science  
• BEng Electrical Engineering  
• BEng Data Engineering  
• BEng Industrial Engineering  
• BSc Big Data Analytics  

Method of Application

Click Here to Apply

Application Deadline: March 31, 2026.