IN_Manager _ Data Science + Gen AI_ D&A_ Advisory_ Noida

At PwC, people in data and analytics leverage data to drive insights and make informed business decisions, using advanced analytics to help clients optimise operations and achieve strategic goals. In business intelligence, you will provide strategic insights and drive informed decision-making, developing innovative solutions to optimise business performance and enhance competitive advantage. This role focuses on uncovering enterprise insights and driving business results using smarter data analytics, including business intelligence, data management, and data assurance, to help clients innovate, grow, and adapt to changing customer and technology landscapes.

Must Have

• 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.).
• 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.
• 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).

Good to Have

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

Perks & Benefits

• inclusive benefits
• flexibility programmes
• mentorship
• reward your contributions
• support your wellbeing

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 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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

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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 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.).
• 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 experience required:

3-7

Education Details

B.Tech / M.Tech / MBA / MCA

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

Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data science and analytics

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 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