Agentic Diagnostics & Insights-Associate-Bangalore

PwC Acceleration Center India; Bengaluru; Presencial; INR 1.100.000 - 1.900.000; Jornada completa

Descripción de la vacante

PwC Acceleration Center India seeks an Associate in Agentic Diagnostics & Insights to translate raw data into actionable insights, enabling data-driven decisions for diverse client portfolios. You'll work within our Data and Analytics Engineering practice, using SQL, Python, and Power BI to extract meaningful patterns.

You will partner with senior staff on client engagements, learn to apply AI techniques like NLP and LLM-based tools, and develop the skills to connect analytics with business

Formación

• MBA degree required.
• Minimum 2 years of experience.
• Oral and written proficiency in English.

Responsabilidades

• Data & analytics core: SQL + Python (pandas) + Power BI (DAX).
• Conversational AI: NLU intents & entities + containment/deflection metrics.
• Agentic AI: LLM-based agents + RAG + tool-calling.
• Contact Center domain: 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.

Conocimientos

SQL

Python (pandas)

Power BI

C++

R

Data analytics

NLP

ML

Data visualization

Educación

MBA degree

Herramientas

Genesys

NICE

Amazon Connect

Google Cloud

IVR

CTI

Descripción del empleo

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You'll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We'll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.

As an Associate in Agentic Diagnostics & Insights, you will engage in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

As an Associate, you will be immersed in learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful 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 these challenges as opportunities for growth.

In this role at PwC Acceleration Center India, you will support senior staff, engage in research, and participate in project tasks. You will develop basic skills and knowledge, respond effectively to diverse perspectives, and use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems.

Responsibilities

• 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

What You Must Have

• At least a MBA degree
• At least 2 years of experience
• Oral and written proficiency in English required

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
• Demonstrating proficiency in programming languages such as C++ and R
• Utilizing data science algorithms and workflows effectively
• Engaging in complex data analysis and predictive modeling
• Excelling in machine learning and deep learning techniques
• Participating in data-driven decision-making processes
• Developing skills in natural language processing and neural networks