Job Description

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 Data Scientist - 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 Technology Consulting practice, you will focus on building meaningful client connections, learning how to manage and inspire others, and navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality solutions that address their challenges.

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 utilize a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. This position offers the opportunity to grow your personal brand and deepen your technical skills, all while responding effectively to diverse perspectives and needs. Embrace the chance to ask questions and use moments of ambiguity as opportunities for growth.

Responsibilities

• Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• Conducting exploratory and descriptive analysis to inform strategic decision-making
• Developing and implementing statistical models to solve complex business problems
• Creating data visualizations to effectively communicate insights and recommendations
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Applying machine learning and natural language processing techniques to enhance data analysis
• Utilizing analytical thinking to break down complex concepts and generate new ideas
• Interpreting data to provide actionable insights and support client objectives
• Upholding professional and technical standards in all data science activities
• Building meaningful client connections and managing relationships to drive business 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
• Solid understanding of machine learning techniques and statistical analysis.
• Experience working with large datasets and performing exploratory data analysis.
• Hands-on experience in Python for data analysis and machine learning.
• Exposure to PySpark and working with large-scale data environments.
• Demonstrating proficiency in Natural Language Processing (NLP) techniques
• Utilizing analytical thinking to solve complex data challenges
• Applying machine learning models to derive actionable insights
• Leveraging data science skills to enhance client solutions
• Building meaningful client relationships through effective communication
• Navigating complex situations with critical thinking and adaptability

Travel Requirements

Not Specified

Job Posting End Date

September 29, 2026