Information Technology - Senior Data Scientist (Advanced AI Track)
- Practices
- Kanban
Join SIA's in-house AI Center of Excellence, which runs the company's shared AI platforms and delivers LLM and AI agent products to business units. Key
Build and operate shared AI platforms: a multi-provider LLM gateway, an agent orchestration layer, an evaluation and monitoring layer, and a staff assistant. Deliver LLM and agent applications for business units, from prototype to live service with measurable business results. Evaluate AI systems: build test sets; measure groundedness, factual accuracy, task-success rate, safety, latency, reliability and model or data drift; define release gates and rollback criteria; manage model upgrades and retirements.
For agentic workflows, evaluate tool-call accuracy, policy compliance, unauthorized-action prevention and human-escalation effectiveness. Balance cost and performance: route between models, use batch processing, and run models on our own GPUs when data cannot leave the company. Design how agents retrieve and share business knowledge, with access control and data governance across SIA and Group companies.
Apply traditional machine learning and optimization to fraud and anomaly detection, forecasting, resource optimization and document classification. Decide when a classic model beats an LLM. Work with Data Engineering, Enterprise Architecture and other teams as the technical go-to person in your area.
Work with business units to define the problem and success measures, explain results in plain language, and c