Generative AI Data Scientist

PwC; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

PwC is seeking a seasoned Data Scientist to leverage analytics and ML to derive insights from large datasets and deliver robust data solutions for diverse clients.

The role involves building data pipelines, conducting exploratory analyses, and developing production-grade AI/ML models, with emphasis on data quality and governance. Excellent communication and mentoring skills are essential.

Qualifications

• Bachelor's degree in a relevant field.
• At least 4 years of experience.
• English proficiency (oral and written).

Responsibilities

• Leveraging advanced analytics and statistical techniques to extract insights from large datasets.
• Designing and developing robust data solutions to transform raw data into actionable insights.
• Conducting exploratory and descriptive analysis to solve complex business problems.
• Creating data visualizations to inform strategic decisions and enhance client understanding.
• Utilizing machine learning and artificial intelligence to drive data-driven decision making.
• Developing and managing data pipelines and data lakes for efficient data processing.
• Implementing data science algorithms and workflows to optimize data analysis.
• Collaborating with clients to understand their needs and deliver tailored data solutions.
• Applying programming languages such as Python, R, and MATLAB for data modeling and analysis.
• Confirming data quality and integrity throughout the data lifecycle.
• Engaging in predictive modeling and complex data analysis to anticipate business trends.
• Mentoring junior team members and fostering a collaborative team environment.

Skills

Python

R

MATLAB

English

Data visualization

Machine learning

Data pipelines

Agentic AI

Education

Bachelor's degree

Tools

LangChain

LangGraph

CrewAI

AutoGen

Job description

Responsibilities

• - Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• - Designing and developing robust data solutions to transform raw data into actionable insights
• - Conducting exploratory and descriptive analysis to solve complex business problems
• - Creating data visualizations to inform strategic decisions and enhance client understanding
• - Utilizing machine learning and artificial intelligence to drive data-driven decision making
• - Developing and managing data pipelines and data lakes for efficient data processing
• - Implementing data science algorithms and workflows to optimize data analysis
• - Collaborating with clients to understand their needs and deliver tailored data solutions
• - Applying programming languages such as Python, R, and MATLAB for data modeling and analysis
• - Confirming data quality and integrity throughout the data lifecycle
• - Engaging in predictive modeling and complex data analysis to anticipate business trends
• - Mentoring junior team members and fostering a collaborative team environment

What You Must Have

• - At least a Bachelor's degree
• - At least 4 years of experience
• - Oral and written proficiency in English required

What Sets You Apart

• Proven experience building and deploying production-grade Agentic AI solutions using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
• Strong knowledge of AI interoperability protocols (e.g., MCP, A2A) and advanced Retrieval
• Augmented Generation (RAG) architectures such as Graph RAG, Vectorless RAG, and Hybrid RAG.
• Deep understanding of traditional AI/ML fundamentals including model building, fine-tuning, quantization, feature engineering, and model evaluation.
• Foundational awareness of Responsible AI principles, security practices for safe deployments, and experience evaluating GenAI and Agentic AI applications.
• Hands‑on experience with at least one major cloud provider (AWS, Azure, or GCP), familiarity with CI/CD pipelines, and relevant AI/GenAI certifications preferred.