Data Modeller Senior Associate

PwC; Hyderabad, Chennai, Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

PwC in Hyderabad is seeking a data science-focused professional to translate business questions into analytical solutions, develop statistical models, and refine data pipelines. You will create clear visualizations and communicate findings to both technical and non-technical audiences, using Python, R, and ML tools to support predictive workstreams.

The role emphasizes interpreting large datasets, mentoring juniors, and adapting approaches to evolving client needs while aligning with

Qualifications

• Experience translating business questions into analytical solutions.
• Experience analyzing data modeling requirements.
• Ability to build scalable data pipelines and workflows.
• Strong communication of findings to technical and non-technical audiences.

Responsibilities

• Analyze complex data modeling requirements and translate business questions into analytical solutions.
• Develop statistical models, exploratory analyses, and descriptive outputs that support client decisions.
• Build and refine data pipelines, data quality checks, and scalable modeling workflows.
• Create clear visualizations and summaries communicating findings to technical and nontechnical audiences.
• Utilize Python, R, and machine learning tools for predictive modeling and data science.
• Interpret large data sets to identify patterns and areas for review.
• Review deliverables for accuracy and alignment with standards.
• Mentor junior team members and provide feedback on analysis and models.
• Adapt approaches to changing client needs and shifting project priorities.
• Apply AI fluency to improve model performance and solution design.

Skills

Data modeling

Critical thinking

Client service

Communication

Education

Artificial Intelligence and Robotics

Business Analytics

Computer Science

Machine Learning

Statistics

Tools

Python

R

Machine learning tools

Job description

Role & responsibilities

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 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