Job Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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.

Mandatory Skills

- Robust 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 Skills

- Experience building chatbots, copilots, or AI assistants.
- Contributions to open-source AI projects or published research in AI/ML.

Years of Experience

0-2

Education Details

B.Tech / M.Tech / MBA / MCA Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 36 more}

Desired Languages

(If blank, desired languages not specified) Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 IN-Associate_ Data Science + Gen AI_ GCC_ Advisory_Bangalore (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru