Agentic Diagnostics & Insights-Associate-Bangalore

About the Role

Join PwC's Acceleration Center India to shape the future of business for a diverse client portfolio. You will work within global teams across Advisory, Assurance, Tax, and Business Services, solving real client challenges through collaboration. This is an opportunity to grow your skills, gain hands-on learning with cutting-edge tools, and do inspiring work that makes a difference.

As an Associate in Agentic Diagnostics & Insights, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within the Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets. You will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will immerse yourself in learning and contributing to client engagements and projects, developing your skills to deliver quality work. You will be exposed to clients to learn how to build client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will embrace ambiguity, ask questions, and use challenges as opportunities for growth.

Key Responsibilities

• Support senior staff.
• Engage in research.
• Participate in project tasks.
• Develop basic skills and knowledge.
• Respond effectively to diverse perspectives.
• Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems.

Requirements & Tech Stack

• Data & analytics (CDA core):
• SQL
• Python (pandas)
• Power BI (DAX)
• Conversational AI:
• NLU intents & entities
• Containment / deflection metrics
• Agentic AI (exposure):
• LLM-based agents
• RAG
• Tool-calling
• Contact Center domain:
• Contact Center Transformation
• KPIs (AHT / FCR / NPS)
• Workforce Management
• Platforms:
• Genesys
• NICE
• Amazon Connect
• Google Cloud
• IVR / CTI
• Consulting toolkit:
• Structured problem solving
• Customer journey analysis
• Stakeholder management

Qualifications

• At least an MBA degree.
• At least 2 years of experience.
• Oral and written proficiency in English.

What Sets You Apart

• Preference for at least one of the following fields of study:
• Artificial Intelligence and Robotics
• Business Analytics
• Computer and Information Science
• Computer Engineering
• Computer Programming
• Data Processing/Analytics/Science
• Engineering
• Information Technology
• Machine Learning
• Management Information Systems
• Mathematics
• Statistics
• Systems Engineering
• Proficiency in programming languages such as C++ and R.
• Effective utilization of data science algorithms and workflows.
• Experience in complex data analysis and predictive modeling.
• Expertise in machine learning and deep learning techniques.
• Experience in data-driven decision-making processes.
• Skills in natural language processing and neural networks.