Key Responsibilities

Research & Data Analysis

• 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.

AI & Intelligent Systems Development

• 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 pipe...