Data Trust Services Internship (Rolling Intake)

About PWC Singapore

PWC’s purpose is to build trust in society and solve significant problems. Its services started with audit and assurance and have developed specialized capabilities in tax, advisory, and consulting to help you address emerging new challenges across focus areas like ESG, sustainability and climate change, digital transformation, cyber security, privacy, data, mergers and acquisitions, and more.

Your role

The team practice is integrated across different PwC Lines of Services and works collaboratively with the clients to manage engagements and lead teams of data and analytics resources in various aspects of digital, data, and analytics solutions.

There are multiple tracks within the team where you can find your niche. Candidates will be assigned to the relevant roles, listed below, based on their experience and expertise.

• Data Engineering
• Data Management and Governance
• Data Science
• BI and Data Visualisation
• Data Generalist / Analytics focussed Business Analyst (BA)

Please click the "Apply on employer site" to know the detailed description of each role.

Training & development

• You’ll undertake challenging and relevant work through client engagements.
• You’ll go through an induction during the initial days to equip you with the knowledge and tools to complete your internship successfully.
• You’ll be assigned a supervisor to guide you throughout your entire internship period.

Compensation & benefits

Internship salaries at PwC can range from $7,800 - $14,400 per year. This estimate is based on the salary report provided by PWC Interns in Glassdoor.

Career progression

PwC’s internship provides you with opportunities to work with professionals to develop new skills and qualities, put your university knowledge to practice, and exposure to working life at PwC. Upon completion of the internship, you may be offered a full-time position with the firm or an opportunity to secure a spot in the Graduate Program.

Work-life balance

flex+ is PWC’s flexible work arrangement policy which incorporates various forms of work flexibility and benefits in consideration of people’s lives outside work.

Culture & Vibe

A career at PwC is more than “just” a job. It’s about being part of a culture that is committed to making a difference for each other, its clients, and its community - by empowering you to be the best version of yourself and investing in your growth.

About you

Education qualifications for each role:

Data Engineering

• Bachelor’s degree and above in Analytics, Information Systems Management, Computer Science, or related fields

Data Management and Governance

• A degree in technology or business-related subject is recommended (e.g. Business Analytics, Computer science, accounting, business management)

Data Science

• Ph.D., Master’s or Bachelor's degree in Statistics, Economics, Computer Science, or other relevant fields with deep theoretical knowledge in machine learning, data mining, or statistical/mathematical modeling

BI and Data Visualisation

• Degree in Business Analytics, Computer Science, Computer Engineering, Economics, Engineering, Information Systems, Sciences, Mathematics, Statistics, Physic or other related disciplines that possesses an analytical and quantitative component from a reputable university

Data Generalist / Analytics focussed Business Analyst (BA)

• At least a bachelor's degree in a related field, such as business management, engineering, economics, or statistics.

Please click the "Apply on employer site" to know the detailed requirements for each role.

How to apply

To apply for the job just click the “Apply on employer site” button below and submit your resume and credentials.

You will receive an email from the PWC team to complete Pymetrics within 3 working days of your application submission. Pymetrics is a series of engaging online games that will assess cognitive, behavioral, and emotional traits. This allows it to learn more about you and gives insights into where you will thrive the most in the business.