LLM - Engineer - Senior Associate

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 a LLM - Engineer - Senior Associate you will focus on designing and developing data-driven solutions that turn raw information into actionable insight, 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 a broad range of tools and methods to support client service engagements while building meaningful client connections and developing your technical skills.
In this role at PwC, you will apply your knowledge of data science and engineering to exploratory analysis, statistical modeling, and data visualization, while anticipating client and team needs and guiding junior team members where appropriate. You will also contribute to deliverables that support informed decision-making and business growth, using the firm’s methodologies and technology resources to help move work forward in a dynamic environment.
Responsibilities
Analyzing complex business problems using advanced analytics, statistical modeling, and exploratory data techniques
Developing data science workflows that transform large datasets into actionable insights and practical recommendations
Building predictive models and machine learning solutions to support client decision-making and business planning
Creating clear data visualizations and summary materials that communicate findings to technical and nontechnical audiences
Applying programming languages, analytical tools, and digital platforms to prepare, model, and interpret data
Collaborating on client engagements to understand business context, anticipate needs, and adapt to shifting priorities
Reviewing assigned work for accuracy, consistency, and alignment with professional and technical standards
Guiding junior team members through task execution, issue resolution, and feedback interpretation
Supporting the design and delivery of data and analytics solutions across client projects
Contributing to relationship building by responding to diverse client perspectives and maintaining professional credibility
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
Demonstrating experience translating machine learning concepts into business solutions
Applying Python, SQL, or cloud platforms in analytics work
Interpreting data to guide recommendations and technical decisions
Collaborating across teams while adapting to changing client needs
Mentoring junior team members through project delivery

Work arrangement
No