PwC is hiring freshers and experienced candidates for the Associate – Data Science + Gen AI role in Bangalore. Candidates with relevant qualifications in engineering, technology, and related fields can apply for this opportunity. Applicants with 0–2 years of experience and knowledge of Generative AI, Python, machine learning, and large language models (LLMs) may be suitable for this role.
The position is part of PwC’s Advisory practice, focusing on Data, Analytics & AI. Selected candidates will work on developing Generative AI applications, integrating AI models into existing systems, building AI pipelines, and using advanced analytics to solve business problems.
PwC Hiring 2026 – Job Overview
| Details | Information |
|---|---|
| Company | PwC |
| Job Role | Associate – Data Science + Gen AI |
| Qualification | B.E., B.Tech, M.E., M.Tech, MCA or related qualification |
| Eligible Batches | 2021, 2022, 2023, 2024, 2025, 2026 |
| Experience | Freshers & Experienced |
| Freshers Eligible | Yes, subject to role requirements |
| Salary | ₹4 – ₹12 LPA (Expected) |
| Job Type | Full-Time |
| Work Mode | As per company requirements |
| Location | Bengaluru, Karnataka |
| Job ID | 758023WD |
| Job Category | Advisory – Data, Analytics & AI |
| Last Date | October 21, 2026 (as listed in the supplied job details) |
PwC Associate – Data Science + Gen AI Job Description
PwC is looking for candidates interested in Data Science, Artificial Intelligence, and Generative AI technologies. The role focuses on developing intelligent applications using large language models, multimodal AI systems, and advanced data analytics techniques.
The selected candidates may work with models such as GPT, Claude, and Llama to develop AI-powered solutions for business requirements. Responsibilities also include prompt engineering, model evaluation, Retrieval-Augmented Generation (RAG), and integrating AI services through APIs.
Candidates should have practical knowledge of Python and relevant machine learning frameworks. Familiarity with Hugging Face Transformers, PyTorch, TensorFlow, vector databases, and AI application development will be beneficial.
Roles and Responsibilities
- Design and implement Generative AI applications using large language models.
- Develop prompt engineering strategies to improve AI-generated responses.
- Fine-tune models and optimize their accuracy and relevance.
- Build and deploy AI pipelines for text, image, audio, and video generation.
- Integrate AI models into existing applications using APIs.
- Experiment with model evaluation techniques and performance improvements.
- Implement Retrieval-Augmented Generation (RAG) and embedding-based solutions.
- Work with vector databases and relevant AI development frameworks.
- Research emerging AI technologies, model architectures, and generative techniques.
- Collaborate with teams to develop data-driven solutions for business problems.
Qualifications & Skills
- B.E., B.Tech, M.E., M.Tech, MCA, or a relevant qualification, subject to the official eligibility criteria.
- Freshers and candidates with up to 2 years of experience may be eligible.
- Strong hands-on experience with Python.
- Knowledge of PyTorch, TensorFlow, or Hugging Face Transformers.
- Familiarity with large language model APIs.
- Understanding of vector databases such as FAISS and Pinecone.
- Knowledge of RAG frameworks such as LangChain and LlamaIndex.
- Understanding of machine learning, data analytics, and Generative AI concepts.
- Good analytical, problem-solving, and communication skills.
- Experience building chatbots, copilots, or AI assistants is an advantage.
- Contributions to open-source AI projects or published AI/ML research are beneficial.
Work Environment
The position is listed under PwC’s Advisory practice in the Data, Analytics & AI specialization. The role involves working with data analytics, AI technologies, and business-focused technology solutions.
Candidates may collaborate with teams to develop AI applications, analyze data, integrate models into existing systems, and improve business processes through intelligent automation. The exact work arrangement will depend on the company’s requirements.
Salary Details
The expected salary for the PwC Associate – Data Science + Gen AI role is approximately ₹4 LPA to ₹12 LPA.
This is an estimated salary range, not an officially disclosed compensation figure for requisition 758023WD. The actual package may vary depending on qualifications, relevant skills, experience, interview performance, and company compensation policies.
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How To Apply For PwC Recruitment 2026
- Click on the Apply Here link provided below.
- Visit the official PwC careers website.
- Search for the Associate – Data Science + Gen AI position using job ID 758023WD.
- Review the eligibility criteria and job responsibilities.
- Sign in or create an account on the careers portal.
- Complete the application form with accurate details.
- Upload your updated resume and any requested documents.
- Verify the information and submit your application.
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PwC Data Science + Gen AI Interview Questions and Answers
Technical Interview Questions
1. What is Generative AI?
Generative AI creates new content, such as text, images, audio, and code, using trained models.
2. What is an LLM?
An LLM is a large language model trained on extensive text data to understand and generate human-like language.
3. What is prompt engineering?
Prompt engineering is the process of designing effective instructions to guide an AI model toward accurate and relevant outputs.
4. What is Retrieval-Augmented Generation (RAG)?
RAG retrieves relevant external information and provides it to an LLM to generate more grounded responses.
5. What is the difference between PyTorch and TensorFlow?
Both are machine learning frameworks; PyTorch is popular for flexible research workflows, while TensorFlow supports model development and deployment.
HR Interview Questions
6. Tell me about yourself.
I am interested in Python, data science, and Generative AI, and I want to apply my technical skills to solve real-world problems.
7. Why do you want to join PwC?
I want to work at PwC because it offers opportunities to solve business problems using data analytics and emerging AI technologies.
8. What are your strengths?
My strengths are analytical thinking, problem-solving, adaptability, and willingness to learn new technologies.
9. How do you handle challenges?
I break challenges into smaller tasks, research possible solutions, test my approach, and learn from the results.
10. Where do you see yourself in five years?
I see myself as an experienced AI professional building reliable Generative AI solutions and contributing to impactful projects.
About PwC
PwC (PricewaterhouseCoopers) is a global professional services network providing assurance, tax, consulting, and business advisory services. The organization works with clients across industries to address business challenges, improve operations, manage risks, and support digital transformation.
PwC’s Data, Analytics & AI services help organizations extract insights from data, improve decision-making, and develop technology-driven solutions. Its work in Generative AI includes exploring intelligent applications, advanced analytics, automation, and AI-enabled business processes.
The company emphasizes collaboration, continuous learning, professional development, and creating value for clients and communities.
Final Summary
PwC is hiring for the Associate – Data Science + Gen AI role in Bengaluru, Karnataka, with eligibility for freshers and experienced candidates with up to 2 years of experience, subject to the official role requirements.
Candidates from the 2021, 2022, 2023, 2024, 2025, and 2026 batches may consider applying if they meet the specified educational and technical criteria. Knowledge of Python, Generative AI, LLMs, RAG, and machine learning frameworks will be useful for this opportunity.
The expected salary is ₹4–₹12 LPA, and the supplied job details list October 21, 2026, as the application deadline. Interested candidates should verify the current vacancy and eligibility requirements on PwC’s official careers portal before applying.
