Line of Service

AdvisoryIndustry/Sector

Not ApplicableSpecialism

Data, Analytics & AIManagement Level

Associate & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable productive data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.*Why PWC 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. "

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Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence,



data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

- Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models.

- Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance.

- Build and deploy AI pipelines for text, image, audio, and video generation.

- Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.).

- Collaborate with product, design, and engineering teams to translate business needs into AI-driven features.

- Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG).

- Stay updated on emerging trends in AI research, model architectures, and generative technologies.

- Ensure compliance with ethical AI practices, data privacy, and model governance policies.

Mandatory skill sets:





- Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face).

- Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).

Preferred skill sets:

- Experience building chatbots, copilots, or AI assistants.

- Contributions to open-source AI projects or published research in AI/ML.

Years of experience required:

0-3

Education Details

B.Tech / M.Tech / MBA / MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)

Required Skills

AWS DevopsOptional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not SpecifiedAvailable for Work Visa Sponsorship?

NoGovernment Clearance Required?

NoJob Posting End Date

April 14, 2026

📌 IN_ Associate_ Data Science + Gen AI_ Data Analytics_ Advisory_Gurgaon (India)
🏢 PricewaterhouseCoopers
📍 India