PwC
Data Modeling - PLS - 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 Science
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 Data Modeling - PLS - Senior Associate you will focus on building data models, shaping analytics-ready structures, and turning raw data into meaningful insights for client service engagements within our Data Science practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, and use critical thinking to break down concepts while building meaningful client connections, anticipating team and client needs, and mentoring Associates and junior team members. In this role at PwC, you will use data modeling and statistical techniques to support exploratory analysis, descriptive analysis, and visualization efforts that help inform business decisions and translate findings into clear recommendations.
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Responsibilities
- Analyzing complex data modeling requirements and translating business questions into analytical solutions
- Developing statistical models, exploratory analyses, and descriptive outputs that support client decision making
- Building and refining data pipelines, data quality checks, and scalable modeling workflows
- Creating clear visualizations and summaries that communicate findings to technical and nontechnical audiences
- Using Python, R, and machine learning tools to support predictive modeling and data science workstreams
- Interpreting large data sets to identify patterns, trends, and potential areas for deeper review
- Reviewing deliverables for accuracy and alignment with professional and technical standards
- Guiding junior team members through assigned tasks and providing feedback on analysis and model development
- Adapting approaches to changing client needs, ambiguous problem statements, and shifting project priorities
- Applying AI fluency and data science methods to improve model performance and strengthen solution design
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 data modeling experience within client service engagements
- Applying critical thinking to complex data structures and concepts
- Interpreting data to inform insights and recommendations
- Building meaningful client connections across diverse teams
- Mentoring junior team members while managing assigned workstreams
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.