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🧪Data Scientist

Senior Manager

American Express · Singapore
// classified as
Data Scientist (Modeling, experiments, research.)
posted
1d ago
location
Singapore
languages
python, sql
tools
—
> stack
pythonsql
> description

We are looking for a Manager to join the Global Merchant Services (GMS) Marketing team, bringing strong analytical depth and commercial acumen to help shape data-led decisioning across APAC.

This role is focused on applying advanced analytics to real business problems — translating data into clear, actionable insights that inform marketing strategy, improve performance, and drive measurable outcomes.

You will partner closely with Marketing, Commercial, and Market teams to identify opportunities, solve complex problems, and embed analytics into day-to-day decision-making. While the role sits within a merchant context, the primary focus is on analytics excellence and business impact, with opportunities to engage in merchant-facing work where relevant.

Advanced Analytics & Insight Generation

  • Apply advanced analytical techniques (e.g., modelling, segmentation, forecasting) to solve complex business and marketing problems 
  • Work hands-on with data using tools such as SQL, Python, or similar, from data extraction through to insight generation 
  • Translate analytical outputs into clear, commercially relevant recommendations that drive decision-making 
  • Support the development and optimisation of data-led marketing strategies , marketing measurement and evaluation frameworks 
  • Support the development of repeatable analytical approaches, dashboards, and tools that enable broader team access to insights 
  • Translate data into compelling, commercially relevant narratives that articulate the value of American Express acceptance 
  •  

Stakeholder Collaboration & Influence

  • Work cross-functionally with Marketing, Commercial, and market teams to align on priorities and deliver impact 
  • Communicate insights in a clear and structured way to both technical and non-technical audiences 
  • Contribute to building a strong data-driven culture within the organisation 

Minimum Qualifications (Must-Have)

  • Strong experience (5+ years) in analytics, data science, or quantitative problem-solving roles 
  • Hands-on capability in SQL and at least one programming language (e.g., Python, R) 
  • Experience applying analytical techniques to business problems (e.g., modelling, segmentation, experimentation, forecasting) 
  • Demonstrated ability to connect analysis to commercial outcomes and business decisions 
  • Strong communication skills, with the ability to translate data into clear, actionable insights 

Preferred Qualifications (Nice-to-Have)

  • Experience in marketing analytics or marketing measurement (e.g., campaign analysis, attribution, incrementality testing) 
  • Exposure to customer or lifecycle analytics 
  • Experience working in payments, financial services
  • Experience supporting or participating in client/merchant-facing engagements 

Leadership & Personal Attributes

  • Commercially minded, with a focus on outcomes over outputs 
  • Curious and proactive, with a structured approach to problem solving 
  • Comfortable working with ambiguity and evolving priorities 
  • Collaborative and able to influence across a matrixed organisation 

 

Apply at American Express →