hirly

PwC

AI Data modelling - Senior Associate

Bangalore

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hirly's read of this role

Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
30 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Industry/Sector

Not Applicable

Specialism

Functional & Industry Technologies

Management Level

Senior Associate

Job Description & Summary

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 modeling efforts, interpret feedback from stakeholders, uphold professional and technical standards, and help deliver data-driven deliverables that support Field Service & Operations Modernisation initiatives.

Responsibilities

Design and structure data models optimized for AI/ML consumption, including embeddings, vector representations, and retrieval

  • augmented generation (RAG) pipelines
  • Define schemas for structured and unstructured data feeding into LLM-based systems
  • Build and maintain data pipelines for ingestion, transformation, and normalization of source data
  • Collaborate with stakeholders to map business entities into AI-ready data structures
  • Optimize data storage and retrieval strategies (vector databases, knowledge graphs, relational stores) for performance and accuracy

What You Must Have

  • Bachelor’s degree in computer science, Data Science, or related field
  • 2-3 years of relevant development experience, with overall 4+ years of experience
  • Proven experience working on real-time, client-facing AI projects
  • Strong hands-on expertise in AI/ML development and applied AI solutions

What Sets You Apart

  • 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

Travel Requirements

Up to 20%

Job Posting End Date

Original posting on PwC's site ↗

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