Opportunity Description
Responsibilities
- Analyse structured datasets to uncover patterns, trends, and insights that support research and business initiatives.
- Develop and apply predictive and statistical models such as regression, classification, and forecasting techniques.
- Conduct exploratory data analysis (EDA), feature engineering, and data quality assessments.
- Design and execute statistical experiments including hypothesis testing and model validation.
- Evaluate model performance and communicate findings, assumptions, and limitations clearly.
- Explore and implement LLM-powered agent frameworks for workflow automation and intelligent reasoning.
- Build AI agents capable of interacting with analytical tools, predictive models, and databases.
- Integrate AI systems with structured datasets and model pipelines to support end-to-end analytical tasks.
- Assess agent performance across reasoning quality, tool usage, reliabil...
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