Data Scientist

AI, Machine Learning & Agentic Systems:

• Lead the development and deployment of Agentic AI Models, including autonomous workflows, tool‑using AI agents, retrieval‑augmented systems (RAG), and multi‑agent orchestration.
• Build and optimise LLM‑based solutions
• Implement end‑to‑end MLOps, CI/CD for ML, monitoring, and drift detection
• Build and maintain LLMOps frameworks, including model evaluation harnesses, safety testing, observability, and prompt‑versioning.

Data Science Delivery & Engineering

• Lead data collection, cleansing, transformation, feature engineering, analytics, and visualisation.
• Build high‑quality, reusable code aligned to modern engineering best practices.

Innovation & Thought Leadership

• Stay current with advancements in AI, LLMs, agent‑based systems, MLOps/LLMOps, and cloud technologies.

Requirements