Internship - Data Scientist

Key Responsibilities

• Establish and maintain monitoring metrics for deployed AI models to ensure accuracy, reliability, and stability in production.
• Identify performance deviations, investigate root causes, and implement corrective actions (e.g., re-training, calibration, fine-tuning).
• Support ideation, data exploration, feasibility assessment, and prototyping for new AI use cases aligned with business needs.
• Assist in selecting suitable approaches (ML/DL/GenAI) and conducting experiments to validate technical feasibility and KPI impact.
• Contribute to transitioning prototypes toward pilot/production readiness through reproducible workflows and documentation.
• Refine datasets and improve data preprocessing pipelines to ensure robust and repeatable model performance.
• Support data quality checks, feature engineering, augmentation (where applicable), and labeling/ground-truth alignment.
• Benchmark models against KPIs and validate model outputs to ensure adherence to business requirements and risk mitigation.
• Document evaluation outcomes, assumptions, limitations, and recommendations.
• Work closely with cross-functional teams to sustain current AI applications and align new developments with business needs.
• Contribute to internal documentation, demos, and knowledge-sharing to improve team efficiency and reuse.
• Explore and propose tools, techniques, and emerging best practices to improve model performance, maintainability, and development efficiency.