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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

AI Data Modeling Senior Associate

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, or a related field.
  • Two to three years of relevant development experience and at least four years of overall experience.
  • Proven experience working on real-time, client-facing AI projects.
  • Strong hands-on expertise in AI/ML development and applied AI solutions.

Responsibilities

  • Design and structure data models optimized for AI/ML consumption, including embeddings, vector representations, and retrieval-augmented generation 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, including vector databases, knowledge graphs, and relational stores, for performance and accuracy.
  • 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, including golden datasets, regression tests, and scoring rubrics, for continuous model quality monitoring.
  • Conduct red-teaming and adversarial testing to identify failure modes.
  • Define and track key metrics, including precision, recall, latency, and safety compliance, across AI features.
  • Document evaluation results and drive iterative improvements with engineering and product teams.
  • Manage assigned workstreams, apply critical thinking to break down complex concepts, mentor Associates and other junior team members, build client connections, interpret stakeholder feedback, uphold professional and technical standards, and help deliver data-driven deliverables supporting Field Service & Operations Modernisation initiatives.

Desired Qualifications

  • Python.
  • Vector databases.
  • Retrieval-augmented generation architecture.
  • Embedding models.
  • LLM evaluation frameworks.
  • Guardrails and safety testing.
  • Prompt engineering.
  • Red-teaming.
  • Metrics and performance tracking.
  • Azure AI.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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