LLM - Engineer - Senior Associate

Industry/Sector

Specialism

Management Level

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 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 our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, and use critical thinking, professional judgment, and technical skills to guide deliverables while building meaningful client connections and mentoring junior team members. In this role at PwC Acceleration Center India, you will contribute to exploratory and descriptive analysis, statistical modeling, and data visualizations that support client service engagements and broader business objectives.



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 professional and technical standards while supporting client service engagements and broader project objectives

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
- 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

Travel Requirements

Job Posting End Date