Consulting - Digital, Cloud, Data (Data) Year-End Internship (Dec 26 - Feb 27)

Overview

PwC Southeast Asia Consulting seeks bright and enthusiastic interns for December 2026 – February 2027 (Year End internship). 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 uses data mining, modelling and advanced predictive and simulation analytics to assist clients in navigating the impact of various financial or operational changes to their business.

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. 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 with an analytical component and quantitative focus (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

Basic competency in one or more of the following: analytical software and languages (e.g. PowerBI, Python, R); relational or graph databases and tools (e.g. SQL, SSMS, MySQL); knowledge of simulation or optimisation software and theory (e.g. discrete choice, agent based)

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