Data Analysis - SQL + Core Domain Data skills - Manager

PwC; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

PwC in Hyderabad is seeking a data science lead to translate raw data into actionable business insights for client engagements. You will manage project scope, timelines, and deliverables while coordinating resources and reviewing progress against client objectives.

You will guide teams in exploratory analysis, statistical modeling, and machine learning, develop data pipelines and quality checks, translate business questions into analytical approaches, and mentor junior analysts to strengthen

Qualifications

• Demonstrated SQL analysis across large, complex data sets.
• Experience leading data science workstreams and mentoring juniors.
• Ability to translate business needs into analytical findings and actions.
• Applied machine learning, statistical modeling, and predictive methods.
• Strong communication for client discussions and delivery issue resolution.

Responsibilities

• Lead data science workstreams and turn raw data into insights for client engagements.
• Manage project scope, timelines, and deliverables with resources and progress reviews.
• Guide teams in exploratory analysis, statistical modeling, and descriptive analytics using SQL.
• Apply ML, predictive modeling, and data mining techniques to solve business problems.
• Develop data pipelines, data models, and data quality checks for reliable analytics.
• Translate business questions into analytic approaches, outputs, and recommendations.
• Review work, coach team members, and provide feedback to improve delivery.
• Use AI tools, data engineering concepts, and visualization to improve analyses.

Skills

SQL analysis

Machine learning

Data visualization

Project coordination

Education

Artificial Intelligence and Robotics

Business Analytics

Computer Science

Machine Learning

Statistics

Job description

Role & responsibilities

• Leading data science workstreams that turn raw information into actionable business insights for client engagements
• Managing project scope, timelines, and deliverables while coordinating resources and reviewing progress against client objectives
• Guiding teams in exploratory analysis, statistical modeling, and descriptive analytics using SQL and core domain data skills
• Applying machine learning, predictive modeling, and data mining techniques to solve complex business problems
• Developing data pipelines, data models, and data quality checks that support reliable analytics and reporting
• Translating business questions into analytical approaches, measurable outputs, and practical recommendations
• Reviewing technical work, coaching team members, and tailoring feedback to strengthen delivery and grow analytical skills
• Using AI tools, data engineering concepts, and visualization methods to improve analysis workflows and presentation of findings

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 SQL analysis across large, complex data sets
• Leading data science workstreams and mentoring junior team members
• Translating business needs into analytical findings and actions
• Applying machine learning, statistical modeling, and predictive methods
• Navigating client discussions and resolving delivery issues professionally