Full Stack Engineers - Senior Associate

PwC; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

PwC India is hiring a Senior Associate Full Stack Engineer in the Acceleration Center India. You will design and deliver data‑driven solutions that transform raw data into actionable insights for client engagements, using a range of analytics tools and techniques.

You’ll manage complex workstreams and mentor juniors while building client relationships. You will apply critical thinking to interpret data, support delivery of analytical solutions, and align with project goals across advisory,

Qualifications

• Bachelor’s degree required for the role.
• 4+ years of experience in relevant fields.
• Proficient in English (oral and written).

Responsibilities

• Develop full stack data science solutions translating datasets into insights.
• Create exploratory analyses, models, and visualizations for decisions.
• Design and maintain data pipelines, models, and quality checks.
• Apply ML, DL and NLP techniques to client challenges.
• Translate business questions into technical requirements and analytics.
• Review workstreams for accuracy and compliance with standards.
• Guide junior team members through problem solving and delivery tasks.
• Build client connections and adapt analyses to business context.

Skills

Full stack engineering

Data science methods

Client relationships

Mentoring juniors

System architecture

API design

Database optimization

Critical thinking

Education

Bachelor’s degree

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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 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

Travel Requirements

Not Specified