LLM - Engineer - Senior Associate

Overview

As an LLM - Engineer - Senior Associate, you will design and develop data and analytics solutions that turn large datasets into actionable insights and support data-driven decision making within the Data and Analytics Engineering practice.

What you'll do

• Analyze complex data science problems and translate business questions into modeling and analysis workstreams.
• Develop exploratory and descriptive analyses to surface patterns, trends, and actionable insights from large datasets.
• Apply statistical modeling, machine learning, and natural language processing methods to support data-driven decisions.
• Build data visualizations and clear summaries that communicate findings to clients and internal teams.
• Use AI tools, programming languages, and digital tooling to develop, test, and refine analytic solutions.
• Review data quality, feature design, and model outputs to validate accuracy and consistency.
• Collaborate with client teams to understand business context, clarify priorities, and shape analytic approaches.
• Mentor junior team members by reviewing work products, sharing methods, and guiding task execution.
• Interpret feedback and changing requirements to refine analyses, deliverables, and technical approaches.
• Maintain professional and technical standards while supporting client service engagements and broader project objectives.

What you'll need

• At least a Bachelor's degree.
• At least 4 years of experience.
• Oral and written proficiency in English.

Nice to have

• 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, or Systems Engineering.
• AI fluency and experience applying machine learning methods to client solutions.
• Ability to interpret data to inform insights and recommendations.
• Ability to use critical thinking to break down complex concepts.
• Ability to build client relationships while anticipating team needs.
• Ability to develop technical skills across data science workflows.
• Ability to uphold professional standards while navigating ambiguity.

Details

• Location: Hyderabad.
• The role is within PwC Acceleration Center India’s Data and Analytics Engineering practice.