Role & responsibilities

- Analyzing complex data science problems and translating business questions into modeling and analysis workstreams

- Developing exploratory and descriptive analyses to surface patterns, trends, and actionable insights from large datasets

- Applying statistical modeling, machine learning, and natural language processing methods to support data-driven decisions

- Building data visualizations and clear summaries that communicate findings to clients and internal teams

- Using AI tools, programming languages, and digital tooling to develop, test, and refine analytic solutions

- Reviewing data quality, feature design, and model outputs to validate accuracy and consistency

- Collaborating with client teams to understand business context, clarify priorities, and shape analytic approaches

- Mentoring junior team members by reviewing work products, sharing methods, and guiding task execution

- Interpreting feedback and changing requirements to refine analyses, deliverables, and technical approaches





- Maintaining qualified and technical standards while supporting client service engagements and broader project objectives

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 AI fluency and machine learning methods to client solutions

- Interpreting data to inform insights and recommendations

- Using critical thinking to break down complex concepts

- Building client relationships while anticipating team needs

- Developing technical skills across data science workflows

- Upholding professional standards while navigating ambiguity

📌 LLM - Engineer - Senior Associate (Bengaluru)
🏢 PwC
📍 Bengaluru