PwC
LLM - Engineer - Senior Associate
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
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 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.
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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 and technical standards
- Guiding junior team members on data science methods, troubleshooting approaches, and work product refinement
- Building meaningful client relationships by discussing analytical findings, project needs, and changing business context
What You Must Have
- At least a Bachelor's degree
- At least 4years 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 AI and machine learning project work in client settings
- Translating data insights into clear recommendations for teams
- Breaking down complex concepts using critical thinking methods
- Anticipating client needs while navigating shifting project priorities
- Mentoring junior team members through feedback and coaching
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- SenioritySenior
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.