Full Stack Engineers - 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 Engineers - Associate you will contribute to the design, development, testing, and support of data and analytics engineering solutions within our Data Science practice, helping turn data into insights that support client decision-making. As an Associate you will build your skills through hands-on project work, adapt to changing client needs, ask questions, and take ownership of assigned tasks while delivering reliable work in a fast-paced environment. In this role at PwC, you will apply analytical thinking, support technical delivery, and develop your understanding of how software engineering, data science, and visualization methods come together to address business problems.

Responsibilities

• Supporting data science and engineering tasks across client engagements by applying statistical analysis, data modeling, and exploratory analysis
• Building, testing, and refining machine learning workflows, predictive models, and data science algorithms using Python, R, TensorFlow, or Scikit-learn
• Preparing data pipelines, data lakes, and data quality checks to move information from raw sources into usable analytic formats
• Creating data visualizations and clear summaries that translate findings into actionable insights for technical and business audiences
• Assisting with analysis of large data sets to identify patterns, trends, and opportunities for better decision-making
• Applying artificial intelligence, deep learning, and natural language processing methods to support solution development and troubleshooting
• Collaborating with senior team members on research, documentation, and delivery tasks while building technical depth and commercial awareness
• Using programming languages and digital tooling to develop, debug, and improve analytics solutions across multiple client environments

What You Must Have

• At least a Bachelor's 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
• Applying coursework or project experience in full stack development and data workflows
• Demonstrating familiarity with Python, SQL, or other programming languages
• Working with data engineering, machine learning, or analytics tools
• Collaborating in fast-paced client service or project environments
• Adapting quickly, asking questions, and learning from feedback
• Frontend Fundamentals
• Backend Basics
• HTML/CSS/JavaScript
• REST APIs
• Database Basics
• Git Version Control
• Testing Fundamentals