Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

*WhyPWCAt 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 helporganizationsuncover enterprise insights and drive business results using smarter data analytics. We focus on a collection oforganizationaltechnology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within theirorganizationsin order tokeep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine toleveragedata, 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, andoptimizeoutputs 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.).

Collaborate with product, design, and engineering teams to translate business needs into AI-driven features.

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 experiencerequired:

7-12

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Science

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility + 30 more

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship
No

Government Clearance Required
No

Job Posting End Date
April 26, 2026

IN-Manager_ Data Science + Gen AI_ Data Analytics_ Advisory_ Bangalore