Data Scientist - Lead

What will you do?
* Collaborate with the AI Product Owner to understand the business requirements and define appropriate modelling approaches, experimentation plans, and success metrics.
* Coordinate with business teams to monitor model outcomes, gather feedback, and refine/improve machine learning models based on performance insights.
* Lead data discovery, feature engineering, experimentation, offline/online evaluation, and productionization with CI/CD for ML; own model documentation, reproducibility, and traceability.
* Apply supervised/unsupervised/deep learning, NLP, and LLM techniques (including RAG pipelines, prompt engineering, vector search, and safety guardrails) where they create clear value.
* Design and execute rigorous evaluation strategies for ML and GenAI models, including offline metrics, human-in-the-loop reviews for GenAI outputs, regression checks, and failure mode analysis.
* Im...