LLM Engineer – Senior Associate

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 an LLM - Engineer - Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

In this role at PwC Acceleration Center India, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy.

Responsibilities

• Designing and developing robust data solutions to transform raw data into actionable insights
• Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• Conducting exploratory and descriptive analysis to solve complex business problems
• Creating data visualizations to inform strategic decisions and drive business growth
• Utilizing machine learning and artificial intelligence to enhance data-driven decision-making
• Building and maintaining data pipelines and data lakes for efficient data processing
• Applying data science algorithms and predictive modeling to anticipate client needs
• Collaborating with teams to manage and inspire others in navigating complex situations
• Upholding professional and technical standards while interpreting data for insights and recommendations
• Engaging in continuous learning to deepen technical skills and personal growth

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

• Utilizing advanced data science algorithms and workflows

• Navigating complex data analysis and predictive modeling

• Developing machine learning and deep learning solutions

• Excelling in data-driven decision making and analytical thinking

• Managing data pipelines and data quality processes

• Interpreting data to inform insights and recommendations

• Relevant certifications in data science or GenAI technologies

• Excelling in programming with Python, R, or Scala

• Skilled in machine learning libraries like TensorFlow and PyTorch

Travel Requirements

Not Specified

Job Posting End Date

August 12, 2026