Information Technology - Senior Data Scientist (Advanced AI Track)

Job description

Job Description

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 Responsibilities

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, unauthorised-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 confirm the business outcome after launch.

Plan and run AI projects end to end

scope, milestones, cross-team coordination, and clear status and risk reporting to management.

Requirements

Must Have Business communication: you find the real problem behind a request, explain limits without jargon, and renegotiate scope when needed.

Curiosity

you try new models and tools on real problems, and investigate the cause of unexpected behaviour.

Logical thinking

you break vague problems into parts, state assumptions, and support conclusions with evidence.

Can-do attitude

you take ownership, find a way forward when the first approach fails, and raise risks early.

Project management

milestones, realistic estimates, stakeholder updates, and plan changes across more than one team. Mentoring skills to guide junior data scientists. Degree in computer science, machine learning or a related field, or equivalent experience. Strong Python and SQL; 3+ years delivering ML or AI systems to production.

Traditional ML

gradient-boosted trees, regression, forecasting, clustering, anomaly detection, feature engineering, validation, and knowing when a simple model is better. LLM applications with commercial or open-weight models (Claude, GPT, Gemini, AWS Bedrock): prompts, retrieval, tool calling and multi-step agents. Structured evaluation and monitoring of LLM systems in production (test sets, automated checks, quality, safety, latency, reliability, drift), including tool-call accuracy and policy compliance for agents.

Responsible AI

measurable controls such as guardrails, groundedness checks and audit trails, plus data privacy and access control (for example PDPA). Secure cloud deployment (AWS, Azure or GCP) and cost management. Experience taking an AI or analytics solution beyond launch and measuring its impact on revenue, cost, productivity, service quality or operations. We thank all candidates for your interest in Singapore Airlines, and regret that only shortlisted candidates will be notified.