Intern - Assurance (Data CoE) (March 2027 Intake)

PricewaterhouseCoopers (PwC); Kuala Lumpur; On-site; MYR 17,000 - 28,000; Full time

Job summary

PwC in Kuala Lumpur offers an entry-level internship in the Assurance Data Centre of Excellence. You will handle client datasets, perform data preparation, analytics, and contribute to audit engagements with data-driven solutions.

You’ll build dashboards and visualizations, support automation initiatives, and communicate findings to audit teams. The program emphasizes hands-on responsibility, professional growth, and exposure to the intersection of audit and technology.

Qualifications

• Bachelor Degree required in a relevant field.

Responsibilities

• Extract, cleanse, and transform large datasets from client systems with minimal supervision.
• Apply analytics techniques to support risk assessments and substantive testing; build dashboards and reports.
• Collaborate with Assurance teams to integrate data analytics into audit workflows.
• Develop scripts/workflows to automate processes and improve efficiency.
• Present findings to audit teams and provide guidance on data tools.

Skills

Accepting Feedback

Active Listening

AI Fluency

AI-Human Collaboration

Communication

Digital Tooling

Emotional Regulation

Empathy

Inclusion

Intellectual Curiosity

Optimism

Teamwork

Well Being

Education

Bachelor Degree

Job description

Line of Service
Assurance

Industry/Sector
Not Applicable

Specialism
Assurance

Management Level
Intern/Trainee

Job Description & Summary

At PwC, we focus on nurturing and developing individuals across our entry level careers programmes, providing them with opportunities to start their professional journey. We offer various entry-level positions and programmes for individuals to gain valuable experience and grow their skills.

As an intern in PwC’s Assurance Data Centre of Excellence (Data CoE), you will play an active role in supporting audit teams through data‑driven solutions. This internship is designed to give you hands‑on responsibility in handling client data, building analytics, and contributing directly to assurance engagements. You will be expected to take ownership of tasks, deliver high‑quality outputs, and collaborate closely with both auditors and data specialists.

1. Data Handling & Preparation

• - Extract, cleanse, and transform large datasets from client systems with minimal supervision.
• - Ensure accuracy, completeness, and integrity of data used in audit procedures.

2. Analytics & Insights

• - Apply data analytics techniques (trend analysis, anomaly detection, sampling, predictive modelling) to support risk assessments and substantive testing.
• - Build dashboards, reports, and visualizations to provide actionable insights for audit teams.

3. Audit Support

• - Work directly with Assurance teams to integrate data analytics into audit workflows.
• - Document methodologies and results to ensure transparency and audit trail compliance.

4. Automation & Innovation

• - Contribute to automation initiatives by developing scripts, workflows, or reusable models.
• - Suggest improvements to existing processes and tools to enhance efficiency.

5. Collaboration & Communication

• - Present findings and visualizations to audit teams and managers in a clear, professional manner.
• - Provide technical support and guidance to team members on data tools and techniques.

Overall, as an intern in PwC’s Assurance Data Centre of Excellence (Data CoE), you will take on meaningful responsibilities that directly support audit engagements through data‑driven solutions. Beyond observation, you’ll handle client datasets, apply analytics, and contribute to automation initiatives that enhance audit quality and efficiency. This internship offers valuable exposure at the intersection of audit and technology, where your work will deliver insights, strengthen risk assessments, and improve processes for PwC teams and clients.

- Application open: November 2026
- Application Processing: November 2026 - February 2027
- Onboarding Intake: March 2027

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Communication, Digital Tooling, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Teamwork, Well Being

Desired Languages (If blank, desired languages not specified)
English

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date