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PwC Acceleration Center India is seeking an AI Data Modeling Senior Associate to shape data models for AI/ML, design embeddings, and build robust data pipelines. You will work with client teams across Advisory, Assurance, Tax, and Business Services to deliver data-driven solutions.
You will mentor junior staff, manage workstreams, and contribute to AI-enabled modelling initiatives while upholding professional and technical standards in a dynamic, global environment.
Not Applicable
Functional & Industry Technologies
Senior Associate
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands‑on learning, cutting‑edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As an AI Data Modeling Senior Associate you will support client service engagements by analyzing complex data, shaping data models, and turning business needs into clear technical solutions within our Business & Supply Chain Operations practice. As a Senior Associate you will manage assigned workstreams, apply critical thinking to break down complex concepts, mentor Associates and other junior team members, and build meaningful client connections while navigating ambiguity and changing priorities. In this role at PwC Acceleration Center India, you will contribute to AI-enabled modelling efforts, interpret feedback from stakeholders, uphold professional and technical standards, and help deliver data‑driven deliverables that support Field Service & Operations Modernisation initiatives.
Design and structure data models optimized for AI/ML consumption, including embeddings, vector representations, and retrieval
Bachelor’s degree in computer science, Data Science, or related field
Develop test suites and evaluation frameworks to measure model accuracy, relevance, and consistency
Design and implement guardrails to prevent hallucinations, prompt injection, data leakage, and unsafe outputs
Build automated evaluation pipelines (golden datasets, regression tests, scoring rubrics) for continuous model quality monitoring
Conduct red‑teaming and adversarial testing to identify failure modes
Define and track key metrics (precision, recall, latency, safety compliance) across AI features
Document evaluation results and drive iterative improvements with engineering and product teams
_ Skills : Python, Vector Databases, RAG Architecture, Embedding Models, LLM Evaluation Frameworks, Guardrails & Safety Testing, Prompt Engineering, Red‑Teaming, Metrics & Performance Tracking, Azure AI_
Up to 20%