{"id":3603763,"url":"https://alion.io/job/pwc-intern-assurance-data-coe-march-2027-intake","title":"Intern - Assurance (Data CoE) (March 2027 Intake)","company":{"id":206170,"name":"PwC","domain":"pwc.lv","url":"https://alion.io/company/pwc-3","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":850,"ghost_share":0,"stale_share":0.239,"repost_share":0.004,"time_to_fill_p50_days":57,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-11-02T10:47:12Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-14T17:17:38Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":11},"description":"Line of Service\nAssuranceIndustry/Sector\nNot ApplicableSpecialism\nAssuranceManagement Level\nIntern/TraineeJob Description & Summary\nAt 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.\n1. Data Handling & Preparation\nExtract, cleanse, and transform large datasets from client systems with minimal supervision.\nEnsure accuracy, completeness, and integrity of data used in audit procedures.\n2. Analytics & Insights\nApply data analytics techniques (trend analysis, anomaly detection, sampling, predictive modelling) to support risk assessments and substantive testing.\nBuild dashboards, reports, and visualizations to provide actionable insights for audit teams.\n3. Audit Support\nWork directly with Assurance teams to integrate data analytics into audit workflows.\nDocument methodologies and results to ensure transparency and audit trail compliance.\n4. Automation & Innovation\nContribute to automation initiatives by developing scripts, workflows, or reusable models.\nSuggest improvements to existing processes and tools to enhance efficiency.\n5. Collaboration & Communication\nPresent findings and visualizations to audit teams and managers in a clear, professional manner.\nProvide technical support and guidance to team members on data tools and techniques.\nOverall, 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.\nApplication open: November 2026\nApplication Processing: November 2026 - February 2027\nOnboarding Intake: March 2027\nEducation (if blank, degree and/or field of study not specified)\nDegrees/Field of Study required: Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)\nRequired Skills\nOptional Skills\nAccepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Communication, Digital Tooling, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Teamwork, Well BeingDesired Languages (If blank, desired languages not specified)\nEnglishTravel Requirements\nNot SpecifiedAvailable for Work Visa Sponsorship?\nNoGovernment Clearance Required?\nNoJob Posting End 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