Role & responsibilities

- Analyzing client data using SQL and statistical methods to identify patterns, trends, and anomalies
- Supporting exploratory and descriptive analysis to translate raw data into actionable insights for decision making
- Building and refining data models, data pipelines, and data quality checks to support analytics workstreams
- Applying machine learning and predictive modeling techniques to help solve business problems
- Developing visualizations and summary outputs that communicate findings clearly to technical and nontechnical audiences
- Collaborating with team members to gather requirements, interpret results, and adapt analysis as scope changes
- Using AI tools, digital tooling, and programming languages to improve data science workflows and troubleshooting
- Validating analysis outputs against source data and technical standards while learning from feedback and project experience

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
- Applying SQL for data extraction, cleaning, and validation tasks
- Analyzing data patterns to support client delivery and issue resolution
- Building familiarity with data pipelines, modeling, and quality checks
- Demonstrating curiosity while learning technical standards and commercial context
- Communicating findings clearly and adapting to diverse team needs

📌 Data Analysis - SQL + Core Domain Data skills - Associate 2 (Hyderabad)
🏢 PwC
📍 Hyderabad