Data Scientist - Artificial Intelligence/Machine Learning

Key Responsibilities :

- Analyze structured and unstructured data to identify trends, patterns, risks, and actionable business insights.
 

- Develop machine learning, statistical, predictive, and advanced analytical models.
 

- Perform exploratory data analysis (EDA), feature engineering, segmentation, hypothesis testing, and model experimentation.
 

- Train, evaluate, tune, validate, and optimize predictive and analytical models.
 

- Develop analytics use cases such as forecasting, operational risk prediction, quality monitoring, performance analysis, and resource planning.
 

- Collaborate with Data Engineers to access governed datasets from Microsoft Fabric Lakehouse and enterprise data platforms.
 

- Work with AI/ML Engineers to operationalize models into APIs, dashboards, pipelines, and business workflows.
 

- Present analytical findings, model outputs, assumptions, limitations, and recommendations to business stakeholders.
 

- Support model documentation, explainability, monitoring, reproducibility, and Responsible AI practices.
 

- Contribute to AI-driven analytics, automation initiatives, and decision-support solutions.