Full Stack Engineer - Senior Associate

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 a Full Stack Engineer - Senior Associate you will design and develop data-driven solutions that transform raw data into usable insights for client needs within our Data and Analytics Engineering practice. As a Senior Associate you will manage complex workstreams, build client relationships, and guide junior team members while deepening your understanding of business context and technical methods. In this role at PwC Acceleration Center India, you will apply critical thinking, use a range of tools and techniques to solve problems, interpret data for insights, and support delivery of analytical solutions that align with broader project objectives.

Responsibilities:

• Developing full stack data science solutions that translate complex datasets into actionable insights for client engagements
• Building exploratory and descriptive analyses, statistical models, and data visualizations to support business decisions
• Designing and maintaining data pipelines, data models, and data quality checks for analytics workflows
• Applying machine learning, deep learning, and natural language processing techniques to address complex client challenges
• Translating business questions into technical requirements and analytic approaches that align with project goals
• Reviewing workstreams for accuracy, consistency, and alignment with firm methodology and technical standards
• Guiding junior team members through problem solving, technical troubleshooting, and delivery tasks
• Building meaningful client connections and adapting analysis approaches based on shifting business context and priorities

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 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 hands-on experience using full stack engineering tools and techniques
• Applying data science methods to interpret data and shape recommendations
• Building client relationships while managing assigned workstreams
• Using critical thinking to break down complex technical concepts
• Collaborating across teams while mentoring junior team members

Advanced Frontend Architecture:

• Advanced Backend
• Full Stack System Design
• API Design Patterns
• Database Optimization
• Code Review Leadership
• System Architecture