Lead Data Scientist, Applied AI, SEAA

chanel asia pacific pte limited; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

CHANEL SEAA seeks a Lead Data Scientist, Applied AI to shape the region's data science practice and scale advanced analytics across Southeast Asia and Australia. You will stay hands-on on priority use cases while guiding partners to deliver responsible, production-ready AI solutions.

You will collaborate with business leaders and cross-functional teams to translate strategic questions into rigorous data science programs, set standards and foster adoption across the organization.

Qualifications

• At least 7 years of experience in data science and machine learning, including hands-on delivery of complex analytical solutions.
• Deep practical expertise in statistical modelling, machine learning, experimentation and model evaluation, with expert Python proficiency.
• Hands-on experience with enterprise GenAI, including RAG, embeddings, vector search and agentic workflows.
• Recent direct contribution to data-science or applied-AI work, not only programme sponsorship or vendor oversight.

Responsibilities

• Lead the Data Science and Applied AI Practice.
• Set technical direction, standards and leading practices across data science, machine-learning, GenAI and agentic AI.
• Remain hands-on in priority work through problem framing, exploratory analysis, prototyping, and code or model review.
• Guide practitioners and partners, uphold technical quality, transfer knowledge and help shape the future regional data science capability.
• Turn business questions into decision intelligence and identify the value to clients, boutiques and business.
• Synthesize evidence into clear implications, uncertainties, trade-offs and recommended action.

Skills

Data science

Machine learning

GenAI

Agentic AI

Python

Cloud

Education

Bachelor’s in CS/Math/Statistics

Master’s preferred

Tools

Jupyter / notebooks

ML Ops

Embeddings

Job description

Why This Mission:

CHANEL SEAA is accelerating its data roadmap to expand from business intelligence towards decision intelligence: moving beyond reporting what happened to diagnosing issues, anticipating change and enabling confident, timely action for the brand, clients and business.

The Lead Data Scientist, Applied AI is SEAA’s senior technical authority for data science, machine learning and applied AI. The role turns complex business opportunities into analytically rigorous, scalable and responsible intelligence products that strengthen client understanding, business performance, foresight, judgement and action. This is a player-coach role for someone who combines deep technical credibility with commercial judgement, remains hands‑on in priority work, and can influence how leaders understand and act on evidence.

Working across Southeast Asia and Australia, the role partners with business leaders, Insight & Foresight, Data Platform and Engineering, Data Products and Stewardship, Data & AI Enablement, Technology, Global teams and specialist partners. The role adapts its approach to different market contexts and levels of data maturity, while developing solutions that can scale across the region.

Impact You Can Create In The Role:

Lead the Data Science and Applied AI Practice

• Set technical direction, standards and leading practices across data science, machine-learning, GenAI and agentic AI

• Remain 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 the future regional data science and applied AI capability

Turn Questions into Decision Intelligence

• Partner with business leaders to identify the decisions that matter and define the 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 in partnership with Insight & Foresight

• Synthesise evidence into clear implications, uncertainties, trade‑offs and recommended action

Build and Scale Advanced Analytics and Applied AI

• Lead the design and validation of statistical, machine-learning, GenAI and agentic solutions for priority use case

• 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

Drive Adoption and Organisational Shift

• 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

Responsible AI and Continuous Improvement:

• Ensure AI and data science solutions are developed and used responsibly, with appropriate 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

The Profile We Are Looking For

• Strong technical judgement, with the depth to challenge methods and identify weak assumptions

• A hands‑on mindset, with the willingness to work directly on priority use cases

• Commercial and brand judgement, focused on decisions that matter for clients, boutiques and business performance

• Clear and influential communication, turning complex evidence into a point of view and recommended action

• A collaborative leadership style, raising the capability of colleagues and partners rather than becoming the sole expert

Your Success Measures

• Business and Brand Value: Priority solutions improve decision quality, client experience, growth, operational effectiveness or productivity

• Adoption and Decision Impact: Trusted intelligence is embedded in relevant business routines, products and workflow

• Analytical Quality and Reliability: Solutions meet agreed standards for validity, performance, explainability, usability and documentation

• Speed to Value and Reuse: Reusable methods, assets and components accelerate future delivery

• Capability Maturity: Practitioners and partners demonstrate stronger technical practice and increasing independence

• Responsible AI: Solutions operate with appropriate oversight and controls, with no critical privacy, security or misuse incidents

• Organisational Shift: Leaders increasingly connect internal and external intelligence and move from reporting towards foresight, judgement and action

You are Energised by

• Helping shape the future of an iconic House, using data and AI to strengthen CHANEL’s singularity and enduring desirability

• Deepening our understanding of clients, uncovering human truths and emerging possibilities that enable CHANEL to create meaningful, memorable experiences

• Turning intelligence into imagination and action, helping the organisation see what others do not and make choices that set the standard for luxury

• Pioneering responsible applications of AI, bringing together scientific rigour, creativity and human judgement in a way that feels distinctly CHANEL

• Building a capability people are proud to create together, inspiring confidence, curiosity and new ways of thinking across the region

What You Will Bring: Capability Requirements

Data Science and Applied AI

• 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, with 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

Technical Leadership and Production Fluency

• Experience setting standards, reviewing technical work, mentoring practitioners and guiding partner delivery teams

• Understanding of cloud AI and machine‑learning platforms, model lifecycle and MLOps/LLMOps

• Ability to partner with engineering teams on deployment, monitoring and lifecycle management without duplicating platform ownership

Business Problem Framing and Influence

• Work with business and product partners to translate priority business questions into clear data‑science and AI problems

• Recommend the right analytical or AI approach, based on value, feasibility and technical rigour

• Explain technical choices, assumptions, limitations and results clearly to non‑technical stakeholders

• Influence decisions through evidence and technical judgement, without taking ownership of business strategy or insight generation

• Partner with Insight & Foresight on external signals, and with Data & AI Enablement on adoption and change

Responsible AI and Learning Agility

• Strong understanding of privacy, security, explainability, bias, hallucination risk, human oversight and proportionate governance

• Disciplined curiosity to assess fast‑evolving capabilities and convert relevant advances into practical, governed solutions

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.