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About the role
This senior technical role leads the data science, machine learning and applied AI practice for the SEAA region, covering Southeast Asia and Australia. It is a player-coach position for someone with deep technical credibility and commercial judgement who stays hands-on in priority work. You will partner with business leaders, engineering, data platform and global teams to turn complex opportunities into scalable, responsible intelligence products.
What you'll do
Set technical direction, standards and leading practices across data science, machine learning, GenAI and agentic AI
Stay hands-on in priority work through problem framing, exploratory analysis, methodological design, prototyping and code or model review
Guide practitioners and partners, uphold technical quality, transfer knowledge and help shape regional capability
Partner with business leaders to identify decisions that matter and define expected client, boutique, brand, operational or financial value
Choose the simplest robust method, challenging whether AI is the right response
Connect internal client and business evidence with external market, cultural and industry signals alongside Insight & Foresight
Synthesise evidence into clear implications, uncertainties, trade-offs and recommended action
Lead design and validation of statistical, machine-learning, GenAI and agentic solutions for priority use cases
Establish rigorous baselines, evaluation methods, assumptions and limitations
Work with engineering and Technology teams to productionise, monitor and improve solutions on governed, scalable foundations
Create reusable methods, assets and AI components that accelerate delivery and reduce duplication
Turn complex analysis into compelling, decision-focused stories for executive, market and functional audiences
Champion the shift from retrospective reporting towards diagnosis, foresight, judgement and proactive action
Embed intelligence into business rhythms and use adoption, feedback and outcomes to improve, scale, pause or retire solutions
Ensure AI and data science solutions are developed and used responsibly, with attention to data privacy, explainability, model risk, security and governance
Stay close to emerging data science, GenAI and AI capabilities, assess relevance for Chanel use cases and continuously improve methods, components and delivery practices
Good to know
Working across Southeast Asia and Australia
Location: Singapore
Requirements
At least 7 years of experience in data science and machine learning, including recent hands-on delivery of complex analytical solutions
Practical experience applying GenAI or agentic AI in enterprise settings is strongly preferred
Deep practical expertise in statistical modelling, machine learning, experimentation and model evaluation
Expert Python proficiency
Hands-on experience with enterprise GenAI, including RAG, embeddings, vector search, semantic search and agentic workflows
Recent direct contribution to data-science or applied-AI work, not only programme sponsorship, vendor oversight or people management
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