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 chance to do inspiring work that makes a difference—every day.
As a LLM - Engineer - Senior Associate you will focus on data and analytics engineering work that supports the design and development of data solutions for clients, turning raw data into insights that can inform decisions and business direction within our Data and Analytics practice. As a Senior Associate you will analyze complex concepts, build meaningful client connections, and support junior team members while managing assigned workstreams, applying critical thinking, and using a range of tools and techniques to solve problems and develop deliverables. In this role at PwC,
you will contribute to exploratory and descriptive analysis, statistical modeling, data visualization, and the use of advanced analytics and AI methods to support client service engagements and broader business goals.
Responsibilities
• Developing machine learning and statistical models to extract insights from complex datasets and support client decision-making
• Designing data science workflows that translate business problems into analytical approaches and measurable outputs
• Applying advanced programming, modeling, and visualization techniques to build reusable analytical solutions
• Interpreting model results and data patterns to inform recommendations for client engagements
• Collaborating with data engineers and technology teams to prepare, cleanse, and structure data for analysis
• Reviewing analytical work for accuracy, consistency, and alignment with professional an
📌 LLM - Engineer - Senior Associate (India)
🏢 PwC Acceleration Center India
📍 India
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