PwC Hiring 2027: Technology Consulting Intern | Job ID 758969WD

Company :- PwC Acceleration Center (AC) India
Job Title :- Technology Consulting – Intern – 2027
Job ID / Requisition ID :- 758969WD
Category / Line of Service :- Consulting / Advisory (Data & Analytics Practice)
Employment Type :- Internship / Trainee (Full-Time)
Target Class / Year :- Batch of 2027 (Final Year Degree Program / Recent Graduates)
Posting Recency :- Active (2026/2027 On-Campus & Off-Campus Drive)
Locations :- Multi-Location Opening (Includes major PwC AC India hubs: Bengaluru, Hyderabad, Kolkata, Gurgaon)

The PwC Acceleration Center (AC) India is a key strategic arm of PwC’s global network, driving digital transformation, cloud architecture, data engineering, and strategy consulting for Fortune 500 clients worldwide. Operating across Advisory, Assurance, Tax, and Business Services, AC India delivers high-impact solutions through connected global collaboration.

As a Technology Consulting Intern (2027), you will join the Data & Analytics consulting network. Guided by senior management consultants and solution architects, you will participate in real-world client advisory projects, conduct data analysis, learn PwC’s proprietary engagement methodologies, and apply cutting-edge technology tools to solve complex business challenges.

• Data Analysis & Modeling: Support client delivery teams by performing exploratory data analysis, cleaning structured datasets, and interpreting business trends.
• Research & Insights: Conduct foundational secondary research, industry benchmarking, and technical evaluation to support project deliverables.
• Consulting Frameworks: Learn and adopt PwC advisory tools and frameworks to transform raw business data into actionable executive insights.

Team Collaboration & Professional Growth

• Client Advisory Exposure: Attend sprint planning, client status calls, and internal reviews to understand how global technology consulting engagements are run.
• Feedback & Continuous Learning: Demonstrate a proactive learning mindset, adopt constructive feedback from senior leadership, and contribute to team-wide knowledge assets.
• Documentation & Presentation: Assist in drafting slide decks, technical project summaries, and analytical reports for global project stakeholders.

Academic Qualifications

• Degree & Batch: Currently pursuing or completed a Bachelor’s or Master’s degree (B.E. / B.Tech / B.C.A / M.C.A / B.Sc / M.Sc / M.B.A).
• Target Cohort: Intended for job seekers who are in their final year of their degree program (2027 graduating batch) or recent graduates.

Technical & Professional Requirements

• Language Proficiency: Strong oral and written fluency in English.
• Analytical Skills: Basic proficiency in data manipulation, spreadsheet modeling (MS Excel), or programming/analytics concepts (Python, SQL, Power BI, or Tableau basics).
• Core Competencies: Intellectual curiosity, strong active listening, structured problem-solving, and effective team communication.

Preferred / What Sets You Apart

• Prior exposure to data analytics tools, database queries (SQL), or data visualization platforms through academic or personal projects.
• Demonstrated interest in technology consulting, digital transformation, and business intelligence.
• Familiarity with Agile execution frameworks and collaborative tools (Git, JIRA, Confluence, MS Teams).

Estimated Internship Stipend Expectations

For a Technology Consulting Intern at PwC Acceleration Center India:

• Estimated Monthly Stipend: ₹30,000 to ₹50,000 INR per month.
• Post-Internship Offer (PPO) Potential: High-performing interns are evaluated for full-time Associate / Technology Consultant roles upon graduation, with starting full-time CTC packages ranging from ₹7,00,000 to ₹12,00,000 INR per annum.

1. Resume Shortlisting (Evaluation of Job ID 758969WD, 2027 Batch Eligibility, Academic Marks, & Analytics Keywords)
   ↓
2. Online Cognitive & Technical Assessment (Aptitude, Verbal Ability, Logical Reasoning, & Basic SQL/Data Interpretation)
   ↓
3. Technical Interview Round 1 (Data analytics case study, basic SQL/Excel questions, academic project review, & consulting scenarios)
   ↓
4. Managerial Interview Round 2 (Guesstimates, problem-solving approach, client-facing scenarios, & learning agility evaluation)
   ↓
5. HR Round & Internship Onboarding (Location preference, availability check, shift alignment, & offer processing)

• Basic SQL & Data Manipulation: SELECT statements, GROUP BY, JOINs, filtering conditions, and aggregate functions.
• Consulting Guesstimates & Case Frameworks: Breaking down unstructured market sizing or business efficiency problems into logical, structured components.
• Data Visualization & Excel: VLOOKUP/XLOOKUP, Pivot Tables, summary metrics, and constructing basic charts in Power BI, Tableau, or Excel.
• PwC Values & Soft Skills: Demonstrating adaptability, active listening, teamwork, and an understanding of PwC’s global consulting model.

Technical & Consulting Keywords

• Technology Consulting Intern
• Data & Analytics Advisory
• Exploratory Data Analysis (EDA)
• Structured Query Language (SQL)
• Microsoft Excel (Pivot Tables, VLOOKUP)
• Data Visualization (Power BI / Tableau)
• Primary & Secondary Market Research
• Consulting Methodologies & Frameworks

• Client Delivery Support
• Active Listening & Communication
• Problem-Solving & Intellectual Curiosity
• Cross-Functional Team Collaboration
• PwC Acceleration Center (AC) India

1. What is the Job Requisition ID for this role?

The official requisition ID is 758969WD.

2. Is this internship open to the graduating batch of 2027?

Yes, PwC explicitly states that these entry-level intern positions are intended for job seekers in their final year of their degree program (2027 batch) or recent graduates.

3. What is PwC Acceleration Center (AC) India?

PwC AC India is part of PwC’s global network of technology and delivery centers that provide consulting, advisory, tax, and assurance services to international clients.

4. Are candidates from non-engineering backgrounds eligible?

Yes, any candidate pursuing or possessing a Bachelor’s or Master’s degree in engineering, science, computer applications, or business/management with strong analytical skills is eligible.