Industry/Sector

Specialism

Management Level

Job Description & Summary

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 AI Engineer – Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and enhance your awareness of strengths. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn’t clear.

In this role at PwC Acceleration Center India, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will develop a deeper understanding of the business context and how it is evolving, using reflection to enhance strengths and address development areas.

Responsibilities

- Designing and developing advanced data solutions to transform raw data into actionable insights
- Leveraging statistical techniques and machine learning algorithms to drive data-driven decision making
- Conducting exploratory and descriptive analysis to solve complex business problems
- Creating data visualizations to inform strategic decisions and enhance client understanding
- Utilizing programming languages and data science workflows to optimize data processing and analysis
- Collaborating with clients to understand their needs and deliver tailored data solutions
- Applying critical thinking to break down complex concepts and generate innovative ideas
- Upholding professional and technical standards in all client engagements
- Mentoring junior team members to foster skill development and knowledge sharing
- Navigating complex situations to build meaningful client relationships and anticipate team needs

What You Must Have

- At least a Bachelor's degree
- At least 4 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, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering

- Excelling in client-focused relationship building and management

- Navigating complex situations with critical thinking and problem-solving

- Utilizing coding standards and code review for software engineering

- Design and build full-stack features end-to-end — React/TypeScript front-ends and Python/FastAPI back-ends for GenAI agent products

- Architect and implement LLM-powered agent workflows using LangChain, LangGraph, or CrewAI to automate managed-services business processes

- Implementing continuous integration/continuous delivery (CI/CD) practices

- Comfortable with SQL/NoSQL, data modeling, containerization (Docker), orchestration (Kubernetes), and cloud (Azure / AWS / GCP)

- Developing proficiency in React Native and scripting languages

- Leveraging tools and methodologies to generate innovative solutions

Travel Requirements

Job Posting End Date