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

PwC Singapore; Singapore; On-site; SGD 16,740 - 27,900; Full time

Job summary

PwC Singapore is seeking bright and enthusiastic interns for their Cloud, Digital, Data team for a year-end internship from December 2026 to February 2027. Interns will gain hands-on experience in analyzing complex data and building analytical models.

The role is ideal for penultimate year students in Computer Science or related fields, offering an opportunity to develop strong technical and analytical skills while contributing to solving actual business challenges using data.

Qualifications

• Penultimate year in Computer Science, Computer Engineering, or Information Systems with a quantitative focus.
• Pro-active, adaptable, and able to apply new analytical tools.
• Strong analytical skills to communicate technical findings simply.

Responsibilities

• Understand complex client data to identify trends and insights.
• Design and review analytical models for data-driven client solutions.
• Translate analytical findings into clear insights for stakeholders.
• Assist in interpreting results for effective decision-making.
• Collaborate to refine analyses and outputs for accuracy.

Skills

Analytical software

Programming languages (Python, R)

Critical thinking

Data analysis

Education

Penultimate year in Computer Science or related field

Tools

PowerBI

SQL

Job description

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)