Digital, Cloud, Data Consulting Associate (2026 Intake)

About the role

PwC's SEAC Cloud, Digital, Data team is a leading digital consultancy that helps businesses, not-for-profits and governments optimise data and analytical assets so they can make better decisions, work more efficiently and find new sources of revenue. The team uses analytics, including advanced machine learning and AI, to turn data into value. It is recruiting Associates for its 2025 intake (the 2026 intake, FY27).

Key responsibilities

• Work across diverse industries and projects, from developing organisational strategies for analytics to building sophisticated visualisations and analytical models.
• Analyse and interpret large volumes of client and external data using proprietary and open-source data tools, platforms and analytical toolkits.
• Translate complex findings into simple language and communicate them to internal and external stakeholders, such as team members and client executives.
• Deliver excellent client service and work flexibly from home, the PwC Singapore office and client sites.

Required profile

• Final-year student in Business Analytics, Computer Science, Computer Engineering, Engineering, Information Systems, Sciences, Mathematics, Statistics, Physics or a related discipline with an analytical and quantitative component, from a reputable local university.
• Or 0-3 years of full-time work experience in a Data and Analytics role.
• Strong preference for basic competency in two or more of the listed technical skills.
• A self-driven team player who can quickly learn and apply new tools, with critical thinking, problem-solving and curiosity about data trends.
• Ability to explain complex technical findings clearly to clients and colleagues.
• Passion for emerging technologies such as Big Data, Machine Learning and AI.

Required skills

• Data engineering and architecture on the cloud (e.g. Azure Data Factory, Databricks, AWS, Snowflake)
• Relational or graph database tools (e.g. SQL, NoSQL, Neo4j)
• Data visualisation tools (e.g. QlikView, Tableau, Power BI)
• Data science coding (e.g. Python, R, VBA, C++, Java)
• Analytical software (e.g. R, SAS)

Candidates apply online, indicating one preferred position and optionally a second choice; only shortlisted candidates are contacted, and only one application per candidate is accepted.