Work across Analytical Solutions: implementation, testing, validation, documentation.
Extract data from multiple sources using Python, PySpark, Hadoop, SQL.
Create data pipelines, score models, validate results with automated frameworks.
Use GenAI tools (Copilot Studio, LangGraph) to build agentic solutions.
Collaborate with Data Supply, ML Engineers, and Technology to deploy ML/GenAI.

🎯 Requirements

1-2 years in Data Analytics or Data Science roles.
Strong Python, PySpark, SQL skills for production code.
Knowledge of GenAI tools and techniques.
Experience applying statistical and machine learning techniques.
Experience building and optimizing data pipelines and datasets.
Excellent verbal, written communication and presentation skills.

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