Line of Service

AdvisoryIndustry/Sector

Not ApplicableSpecialism

Data, Analytics & AIManagement Level

Senior Associate & 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 PWCAt 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 advantages, 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. " &

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, develop, and deploy AI/ML models for business use cases.

- Build and optimize Generative AI applications using LLMs such as GPT, Claude, Llama, Gemini, etc.

- Develop RAG (Retrieval-Augmented Generation) solutions using vector databases.

- Fine-tune and evaluate foundation models for domain-specific applications.

- Collaborate with data engineers, software developers, and business stakeholders to define AI solutions.

- Implement MLOps practices for model deployment, monitoring, and lifecycle management.

- Build APIs and microservices for AI model integration.

- Ensure model performance, scalability, security, and reliability.





- Stay updated with emerging AI technologies and recommend best practices.

Mandatory skill sets:

- Build and optimize Generative AI applications using LLMs such as GPT, Claude, Llama, Gemini, etc.

- Develop RAG (Retrieval-Augmented Generation) solutions using vector databases.

Preferred skill sets:

- Knowledge of AI agents, workflow automation, and autonomous systems.

- Experience working in large-scale enterprise AI transformation projects.

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: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)

Required Skills

Artificial Intelligence (AI)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, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not SpecifiedAvailable for Work Visa Sponsorship?

NoGovernment Clearance Required?

NoJob Posting End Date

April 10, 2026

📌 IN_Senior Associate_ AI Engineer_ Data Analytics_ Advisory_ Bangalore (India)
🏢 PricewaterhouseCoopers
📍 India