Consulting - Digital, Cloud, Data (Data) Off Cycle Internship (Jan - Jun 27)

Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Intern/Trainee Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into a competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at . PwC South East Asia Consulting help businesses to work smarter and grow faster. We partner with our clients to build effective organisations, innovate and grow, reduce costs, manage risk and regulation and, leverage talent. Our aim is to support businesses in designing, managing and executing lasting beneficial change. Our practice provides a comprehensive range of professional services and experience to deliver large scale, cross territory transformation projects, wherever our clients need us to be – from strategy through to execution. We are seeking bright and enthusiastic interns from January to June 2027 (Off-cycle internship) who are passionate about problem solving and keen to pick up the requisite skills for a long-term career at PwC. About Our Team The Cloud, Digital, Data (Data) team helps clients optimise data and analytical assets to make better decisions, work more efficiently, and find new sources of revenue. The team seeks to understand our clients’ challenges and identify ways of using data through data mining, modelling and advanced predictive and simulation analytics to assist them in navigating the impact of various financial or operational changes to their business. We have a supportive and diverse team who strongly believe in learning and growing as a team. By joining the team, you will have the opportunity to be exposed to a range of industries and clients and solve interesting problems with data. About the Role As part of the Cloud, Digital, Data (Data) team, you will support initiatives that help organisations leverage data and analytics to drive better decision-making, improve efficiency, and unlock new sources of value. In this role, you will gain hands-on experience in analysing complex data, building analytical models, and translating insights into clear, actionable outputs. Working within a supportive and collaborative team, you will contribute to solving real business problems using data while developing strong technical and analytical capabilities across a range of industries. Key Responsibilities: Understand and analyse complex client commercial, operational, and financial data, supporting the identification of key trends, insights, and issues relevant to business challenges. Design, build, and review analytical models to support the development of data-driven solutions for client needs, ensuring outputs are structured and reliable. Translate complex analytical findings into clear, concise, and easy-to-understand insights, supporting effective communication to both internal teams and external stakeholders. Assist in interpreting results from analytical models to support decision-making and provide meaningful context to business scenarios. Collaborate with team members to refine analyses and outputs, ensuring consistency, accuracy, and alignment with engagement objectives . About You Penultimate year Computer Science, Computer Engineering, Engineering, Information Systems or other related disciplines that have an analytical component and quantitative focus students from local or overseas universities Pro-active , adaptable, and flexible. Able to apply new tools and techniques such as proprietary analytical software, data models and programming languages Strong analytical and critical thinking skills . Able to analyse and break down complex concepts and technical findings into clear and simple language It will be required to have basic competency in one or more of the following: (a) Analytical software and languages ( e.g. PowerBI , Python, R) (b) Relational or graph databases and tools ( eg. SQL, SSMS, MySQL) (c) Knowledge of simulation or optimisation software and theory ( e.g. discrete choice, agent based) Application Note Please note we accept only one application per candidate. You may indicate your second preference in the same application. We recommend that you apply to your preferred position that clos ely aligns with your skills, passions and interests. Multiple entries will slow down your application with us Kindly upload both your resume and degree audit or transcript in PDF format. Only shortlisted candidates will be notified due to the high volume of applications. Have questions? Get in touch with us at . There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from " @pwc.com " email addresses. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor Degree Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements 0% Available for Work Visa Sponsorship? No Government Clearance Required? Yes Job Posting End Date June 30, 2027