Data Science - Traditional AI / ML - Senior Associate

PwC; Kolkata District, Hyderabad, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC is seeking a data science professional to analyze client business problems and translate findings into actionable recommendations. You will build statistical models, ML workflows, and predictive solutions, while shaping data prep, feature engineering, and model validation across project workstreams.

You will interpret structured and unstructured data, develop visualizations, and present findings to both technical and non-technical audiences using Python, R, SQL and relevant ML libraries.

Qualifications

• Analytical thinker with strong statistical thinking and problem solving.
• Ability to translate data insights into actionable business recommendations.
• Experience communicating with both technical and non-technical stakeholders.
• Mentoring junior team members and guiding analytical work streams.

Responsibilities

• Analyze client business problems and translate findings into data science recommendations.
• Build statistical models and ML workflows addressing complex questions.
• Prepare data, engineer features, and validate models across projects.
• Create visuals and presentations to convey findings to diverse audiences.
• Apply Python, R, SQL and ML libraries to support experimentation and delivery.
• Review data quality and model inputs to ensure reliable outputs.
• Support client conversations by clarifying needs and documenting requirements.
• Guide junior team members on analytics methods and documentation.
• Ensure work aligns with standards, objectives, and DS methodologies.

Tools

Python

R

SQL

TensorFlow

Scikit-learn

Job description

Role & responsibilities

Analyzing client business problems and translating exploratory findings into clear data science recommendations

• Building statistical models, machine learning workflows, and predictive solutions that address complex business questions
• Designing and refining data preparation, feature engineering, and model validation activities across project workstreams
• Interpreting structured and unstructured data sources to identify trends, patterns, and measurable drivers of performance
• Developing data visualizations and presentation materials that communicate findings to technical and nontechnical audiences
• Applying Python, R, SQL, and machine learning libraries to support experimentation, model tuning, and solution delivery
• Reviewing data quality, model inputs, and output logic to identify issues that affect analysis and recommendations
• Supporting client conversations by clarifying needs, documenting requirements, and adapting deliverables as priorities shift
• Guiding junior team members on analytical methods, problem solving approaches, and technical documentation
• Validating that work aligns with professional standards, project objectives, and data science methodologies

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 AI and machine learning project experience in client settings
• Applying statistical analysis to interpret data and shape recommendations
• Translating complex technical concepts into clear client conversations
• Supporting workstreams while mentoring junior team members
• Using Python, R, TensorFlow, or Scikit-learn for modeling
• Advanced ML Models
• Feature Engineering
• Model Optimization
• Statistical Rigor
• Data Visualization
• Hypothesis testingProblem-solving Framework
• Python/SQL
• Ensemble Methods
• Regression Analysis
• Classification Techniques
• Clustering Methods
• Model Validation
• A/B Testing
• Causal Inference
• Performance Analysis
• Reproducibility
• Documentation
• Mentoring Capability
• Cross-functional Communication
• Business Translation