Associate – Data Science + Gen AI (GCC, Advisory)

PwC — Bengaluru, Karnataka

₹3–7 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Full-time · onsite · Apply by 30 Oct 2026

HireSetu listing reference b1de3f · employer requisition 758023WD — confirm requirements below, then apply on the employer site.

Quick answer: A junior Gen AI role in PwC's advisory data practice in Bengaluru, onsite. The mandatory list is short and practical: Python with PyTorch, TensorFlow or Hugging Face Transformers, plus familiarity with LLM APIs, vector databases and RAG frameworks.

From PwC's job posting

Job Description & 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.

*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.

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

0-2

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 of Engineering

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)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 18, 2026

Text from PwC's official job posting, formatted by HireSetu. The employer's own page is the final word on details.

HireSetu's note

A short, hands-on mandatory list

Python plus one of PyTorch, TensorFlow or Hugging Face Transformers is required, along with familiarity with LLM APIs, vector databases like FAISS or Pinecone, and RAG frameworks such as LangChain or LlamaIndex. Embeddings and RLHF sit inside the work, not in the entry bar.

At 0-2 years, coursework gets you screened. Having built something with a model, wired it to an API or a vector store, and being able to say what broke is what gets discussed. B.Tech and M.Tech are the named degrees and MBA and MCA are accepted, so this is a build role, not a research gate. A small assistant or chatbot you actually shipped says more here than another certificate.

The week runs on experiments and evaluations

The build side is LLM and multimodal applications: prompt strategies, fine-tuning, pipelines across text, image, audio and video, and integration through APIs from OpenAI, Anthropic or Hugging Face. Then comes the part juniors underestimate. Running experiments, evaluating outputs, and tuning accuracy and relevance with embeddings, RAG and human feedback. That work is repetitive and measurement-heavy, and it takes most of the hours.

Advisory means client engagements, so you get staffed onto a project and the domain depends on what the team has sold. Ask how staffing works and whether you sit on one engagement or move between them.

Questions worth carrying in

Ask whether the team fine-tunes models or mostly builds on hosted APIs. That answer decides how much PyTorch you'll touch week to week.

Ask how they evaluate the applications they ship. Gen AI outputs are hard to score, and a team with a real answer to that question is an easier place to learn. Ask too how the Bengaluru group splits work with PwC teams elsewhere, since that shapes who sets your priorities and how much client contact you get.

Drafted with AI from PwC's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.

How to apply

  1. Open PwC's careers site with the Apply button.
  2. Create a Workday account for PwC. Workday logins are separate for every company, so an account made for another employer won't work here.
  3. Upload your resume and check every auto-filled field; Workday often misreads dates and job titles.
  4. Answer the screening questions, submit, and look for the confirmation email from Workday.

Apply on PwC's site

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