Head of Data Science - International Markets
Singapore · Full Time
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- Experience
- 10+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 weeks ago
- Work mode
- In office
- Eligibility
- Experienced data science or machine learning professionals with 10+ years in the field and 3–5 years in people leadership, especially those with credit risk or financial services expertise and the ability to work effectively across Southeast Asian markets.
- Resume
- Required to apply
Where you'll work
Job description
Role Overview
This senior leadership position is responsible for driving data science and machine learning across three international markets: the Philippines, Vietnam, and Thailand. The role blends advanced analytics, credit risk expertise, and regional business strategy, with Singapore as the team base.
You will establish and lead a centralized group of data scientists in Singapore, take ownership of the full lifecycle of credit risk model development, and help build a wider machine learning capability that can scale across multiple markets. The role also acts as the main connection between technical teams and business stakeholders in each country.
Team Leadership & Strategy
- Direct, coach, and support a centralized data science team located in Singapore and serving the Philippines, Vietnam, and Thailand.
- Set the data science direction so it supports priorities in each market.
- Foster a strong, collaborative, high-performing team environment while defining effective practices for model creation, testing, and rollout.
- Oversee recruitment, onboarding, and ongoing career growth for data science hires.
Credit Risk & Machine Learning Model Development
- Own the full process for designing, building, validating, and deploying credit risk models such as application risk scorecards, behaviour scorecards, and transaction-based models.
- Stay directly involved in the work by contributing to analysis, model development, and technical troubleshooting alongside the team.
- Broaden the team’s scope beyond credit risk to other ML applications including fraud detection, customer segmentation, churn prediction, and propensity models.
- Partner with machine learning engineering teams to embed models into production systems and data pipelines.
Stakeholder Communication & Regional Collaboration
- Serve as the main technical data science contact for business teams in the Philippines, Vietnam, and Thailand.
- Convert complex modelling results and analytics into practical recommendations that non-technical stakeholders can act on.
- Present model performance, risk findings, and strategic guidance to senior leaders and country heads on a regular basis.
- Work closely with local risk, product, and operations teams to ensure the models solve genuine business problems.
- Promote a culture of data-led decision-making across all three markets.
Candidate Profile
The ideal candidate brings extensive data science or machine learning experience, strong leadership ability, and deep familiarity with credit risk or financial services. The role requires both strategic thinking and a hands-on approach, along with strong communication skills for working across cultures and markets.
Why This Role
- Take charge of a high-impact data science function across three rapidly expanding Southeast Asian markets.
- Help define the machine learning strategy from the outset, with meaningful ownership over model design, application, and team shaping.
- Join a motivated cross-functional environment that values experimentation and decisions grounded in data.
Additional Information
The position is based in Singapore and is a full-time onsite role. The information provided does not specify salary, openings, start date, or application deadline.