Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: A career within PWC
Responsibilities:
Gen AI/Agentic AI Engineers
Location - Bangalore/Gurugram
Level - Senior Associate
Experience - 3-7 years
Skills & Experience
Strong background in Python, ML engineering and API development (FastAPIs)
Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers).
Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.).
Expertise with vector databases, elastic search, unstructured data
Experience with cloud AI/ML services (AWS, Azure, GCP).
Key Responsibilities
Design and implement GenAI applications (chatbots, copilots, knowledge assistants).
Build and manage Agentic AI workflows using orchestration frameworks (LangGraph, Crew AI, MCP, A2A).
Apply ML/AI techniques (supervised/unsupervised learning, optimization, embeddings, retrieval).
Integrate AI with enterprise data, APIs, and cloud-native architecture.
Ensure scalability, security, and cost-effectiveness of deployed solutions.
Mandatory skill sets:
AI, ML
Preferred skill sets:
AI, ML
Years of experience required:
3-7 years
Education qualification:
BE/BTECH, ME/MTECH, MBA, MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Artificial Intelligence (AI)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date