Overview
Support the design and development of data and AI solutions within PwC Acceleration Center India, turning raw data into actionable insights for clients, with a focus on exploratory analysis, statistical modeling, and data visualization.
What you'll do
- Support data science and generative AI project tasks across client engagements and internal initiatives
- Apply machine learning, statistical analysis, and natural language processing techniques to solve business problems
- Assist in the development, testing, and refinement of data models, pipelines, and analytical workflows
- Gather and organize data from multiple sources for exploratory analysis and insight development
- Use programming languages and digital tooling to prepare, clean, and transform data for analysis
- Document methods, findings, and technical outputs for review by senior team members
- Contribute to the design of AI driven automation solutions that improve data use and decision making
- Collaborate across teams to adapt to changing priorities, client needs, and project scopes
What you'll need
- At least a Bachelor's degree
- At least 2 years of experience
- Oral and written proficiency in English
Nice to have
- 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 coursework or project work in generative AI, machine learning, or data science
- Applying Python, SQL, TensorFlow, or scikit-learn in academic or internship settings
- Analyzing data patterns and translating findings into clear recommendations
- Adapting quickly in client-facing, fast-paced team environments
- Communicating ideas clearly, listening actively, and asking thoughtful questions
Read the full description and apply on the company’s own careers page.