Lead Data Scientist, AI & ML for Luxury Retail

Ambition Singapore; Singapore; On-site; SGD 210,000 - 270,000; Full time

Job summary

Ambition Singapore is partnering with a globally recognised luxury brand to scale its Data Science and AI capabilities across Southeast Asia. The Lead Data Scientist will act as a senior individual contributor and technical thought partner, turning complex business challenges into practical data-driven solutions.

You’ll shape best practices, establish technical standards, and mentor junior practitioners while collaborating with customer, retail, marketing, merchandising and operations teams.

Qualifications

• 7+ years' experience in Data Science / Machine Learning / Applied AI.
• Strong Python + machine learning experience.
• Experience taking ML/AI solutions from problem framing through to production.
• Experience with GenAI, LLMs, RAG, embeddings or agentic AI.
• Experience with A/B testing, experimentation and measuring business impact.
• Exposure to Docker, Kubernetes and MLOps.
• Strong stakeholder management and communication skills, with the confidence to challenge assumptions and propose alternative solutions.
• A strong commercial and customer mindset, ideally gained within retail, FMCG, consumer, e-commerce or other customer-facing industries.
• Experience providing COE-style technical guidance, such as setting best practices, conducting technical reviews, mentoring or enabling other junior team members
• Curious and hands-on with emerging AI tools and technologies

Skills

Python

Machine Learning

GenAI / LLMs

A/B testing

Stakeholder management

Communication

Tools

Databricks

AWS SageMaker

Azure ML

Docker

Kubernetes

MLOps

Job description

Ambition Singapore is partnering with a globally recognised luxury brand to scale its Data Science and AI capabilities across Southeast Asia. The Lead Data Scientist will act as a senior individual contributor and technical thought partner, turning complex business challenges into practical data-driven solutions.

You’ll shape best practices, establish technical standards, and mentor junior practitioners while collaborating with customer, retail, marketing, merchandising and operations teams.