IN_ Senior Associate_Data Science + Gen AI _GCC_ Advisory_Bangalore

AI in this role

Design and develop advanced data solutions and generative AI applications for clients as a senior associate at PwC.

openaiclaudeanthropicllamalangchainllamaindexhugging-facepineconepytorchtensorflowdatabrickspython+2

prompt-engineeringragai-evaluationai-researchdata-sciencegenerative-aimachine-learningdata-engineering

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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 for our 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 for each 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:

Experience building chatbots, copilots, or AI assistants.

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

Years of experience required:

4-8

Education Details

B.Tech / M.Tech / MBA / MCA

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

Degrees/Field of Study required: Bachelor of Engineering, Master Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

React.js

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, 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 {+ 30 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

January 30, 2026

How we rate this

IN_ Senior Associate_Data Science + Gen AI _GCC_ Advisory_Bangalore at PwC rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

IN_ Senior Associate_Data Science + Gen AI _GCC_ Advisory_Bangalore is an open job at PwC.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Bengaluru Millenia.
The job was posted on October 6, 2026.
Seniority: senior.
Applications are handled by PwC. Apply on PwC

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGAI EvaluationAI ResearchData ScienceGenerative AIMachine LearningData Engineering

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide that one model's output is better than another's for a given task?
Tell me about a research question you investigated. What did you find?
Tell me about a project where data science was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, RAG, AI Evaluation, AI Research, and Data Science. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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