PwC India is hiring experienced professionals across India for multiple opportunities spanning Data Engineering, Data Analytics, Machine Learning, Data Governance, Agentic AI, Generative AI and AI Governance. With roles available at Senior Consultant and Manager levels, this hiring drive is relevant for professionals looking to work at the intersection of technology, consulting, data and emerging AI capabilities.
🏢 About PwC India
PwC India is part of the global PwC network and provides services across consulting, technology, deals, tax, legal, audit and assurance. PwC India describes its careers environment around continuous learning, future-ready skills and solving important problems for clients and communities. Its Data & Analytics practice covers areas including data foundations, governance, advanced analytics and business performance.
📌 Job Overview
- 🏢 Company: PwC India
- 💼 Roles: Senior Consultant / Manager – Data & Analytics
- 📍 Location: Multiple locations across India
- 👨💼 Manager Experience: 8–12 Years
- 👨💻 Senior Consultant Experience: 5–8 Years
- 🎓 Education: BE/BTech/ME/MTech, MCA (Full-Time 3 Years) or MBA (Full-Time)
- 🔹 Domains: Data Engineering, Analytics/ML, Data Governance, AI Governance, Agentic AI & Generative AI
- 📊 Additional Focus: Data Presentation with Agents and Architecture
💼 What Will You Work On?
The opportunities cover several modern data and AI disciplines. Depending on the position, professionals may contribute to designing data architectures, building scalable data pipelines, implementing governance frameworks, developing analytics and ML solutions, or creating AI-enabled business solutions.
Candidates working in Agentic AI and Generative AI should be prepared to demonstrate how AI agents can interact with enterprise data, tools and workflows while maintaining appropriate security, traceability and governance. PwC’s published AI transformation approach specifically connects data foundations, AI technology architecture and responsible AI governance.
🌟 Why This Role Is Good for Experienced Professionals
This hiring opportunity is particularly relevant to professionals who want to combine technical expertise with consulting and business problem-solving. The role portfolio spans both established capabilities such as data engineering and governance and emerging areas such as GenAI and agentic AI.
For Senior Consultants, the opportunity can involve translating technical requirements into client-oriented solutions, contributing to delivery and supporting solution design. For Managers, the role can involve greater ownership of architecture, delivery leadership, stakeholder communication, governance and solution strategy.
🛠️ Skills Required
For Data Engineering
- SQL, Python and data modelling
- ETL/ELT pipeline development
- Data warehouses, data lakes and lakehouse concepts
- Cloud platforms such as AWS/Azure/GCP
- Spark and distributed data processing
For Analytics & ML
- Python, Pandas and NumPy
- Statistics and machine learning fundamentals
- Predictive modelling and feature engineering
- Power BI/Tableau or equivalent visualisation tools
- Business storytelling with data
For Data & AI Governance
- Data quality and metadata management
- Data ownership, lineage and access governance
- Privacy, security and compliance concepts
- Responsible AI, model risk and explainability
For GenAI & Agentic AI
- LLM fundamentals and prompt engineering
- RAG and vector databases
- AI agents and tool/function calling
- Evaluation, monitoring and hallucination controls
- AI security and responsible AI principles
🎯 Expected PwC Interview Rounds
- Round 1 – Recruiter/HR Screening: Resume, experience, notice period, location and role alignment.
- Round 2 – Technical/Assessment Round: SQL, Python, data engineering, analytics, ML or the specific technical specialization mentioned in the job.
- Round 3 – Managerial/Case Discussion: Real-world data problem solving, architecture decisions, stakeholder scenarios and project ownership.
- Round 4 – Leadership/Partner Discussion: Consulting approach, communication, business impact, leadership and behavioural questions.
💰 Expected Salary Range
PwC does not publish a fixed compensation figure for this specific hiring post. Public salary datasets show substantial variation by level, experience, location and business function. Indeed’s August 2026 data reports approximately ₹5.6–25 LPA for Senior Consultant and ₹7–25 LPA for Manager based on its available salary records, while AmbitionBox reports ₹22.5–37 LPA for PwC Analytics Managers and a broader ₹14.2–55 LPA for Data Science & Analytics Managers.
📚 Preparation Tips
- Data Engineering: Practise SQL optimisation, complex joins, window functions, ETL design and data-quality scenarios.
- Architecture: Prepare one end-to-end architecture case involving ingestion, storage, processing, governance, analytics and security.
- Data Governance: Understand data lineage, ownership, quality, privacy, access controls and governance operating models.
- Analytics/ML: Be ready to explain model selection, feature engineering, evaluation metrics and how analytical findings influence business decisions.
- GenAI: Prepare a practical RAG or agentic-AI architecture and explain hallucination prevention, evaluation, security and human oversight.
- AI Governance: Study responsible AI concepts including fairness, explainability, accountability, risk assessment and monitoring. PwC’s own AI governance material highlights governance foundations, lifecycle controls and principles such as fairness, explainability, accountability and security.
- Consulting Skills: Practise explaining complex technical decisions to a non-technical stakeholder using a structured business case.
📝 Resume Tips
- Create a headline around Data & Analytics / AI / Data Engineering / Governance, matching your target role.
- Quantify impact: pipeline performance, data-volume handled, cost reduction, reporting-time reduction or model improvement.
- Add a dedicated GenAI/Agentic AI section if you have genuine project experience.
- For Manager roles, highlight architecture ownership, team leadership, client engagement and solution strategy.
- For Senior Consultant roles, emphasise hands-on delivery, technical problem solving, stakeholder collaboration and measurable project outcomes.
- Mention cloud, SQL, Python, ML, governance and visualisation tools only where you can confidently discuss implementation details.
🚀 How to Apply
📩kavya.jx.tpr@pwc.com
📩 Apply Here: PwC India Careers
📧 Recruitment Contact: kavya.jx.tpr@pwc.com
Candidates should verify the opportunity through PwC’s official careers portal before sharing personal information. PwC India explicitly warns candidates that it does not charge fees at any stage of recruitment.
