IN_ Senior Associate_Data Science + Gen AI _GCC_ Advisory_Bangalore

Price Waterhouse Cooper LLP

Bengaluru

On-site

INR 2,000,000 - 4,500,000

Full time

3 days ago

Be an early applicant

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

PwC is seeking a Data and Analytics Engineer to design and build data infrastructure and pipelines that enable scalable data processing and insightful analytics for client engagements.

You will work on AI pipelines, model integration via APIs, and governance to ensure ethical AI and data privacy while staying ahead of trends in AI tech.

Qualifications

4–8 years of experience in data and analytics engineering.

Responsibilities

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

Skills

Python

PyTorch

TensorFlow

Transformers

LLM APIs

Vector DBs

RAG frameworks

Education

Bachelor of Engineering

Master Degree

Job description

Job Description & 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 efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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…. 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.).
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: