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Data scientist - Generative AI

Exclusive opportunity

Hybrid

Data scientist - Generative AI

PwC

Data scientist - Generative AI

Skills

Google Cloud PlatformPythonData ScienceMATLABRData AnalysisMachine LearningAIAWSAzure

22 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

30 September 2026

What they need


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.

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