Data Scientist

We+ Asia; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

We+ Asia is seeking a highly analytical Data Scientist to partner with a leading issuer bank in Singapore. You will analyze large datasets across transactions, portfolios, and customer behavior to derive actionable insights, influence product strategy, and support executive decision-making.

You will deliver executive-ready dashboards and reports, develop KPI frameworks, and automate recurring analytics. The role requires strong Python/SQL skills, 5+ years in analytics, and excellent stakeholder

Qualifications

• Bachelor's or master's degree in data science, statistics, CS, maths, economics, engineering, or related quantitative field.
• 5+ years of experience in advanced analytics, data science, BI, or consulting analytics.
• Experience working with large-scale datasets and developing business insights.
• Advanced proficiency in Python, SQL, and data analytics methodologies.
• Strong statistical analysis and data visualization skills.
• Experience developing executive-level presentations and reports.

Responsibilities

• Analyze large-scale transaction datasets to identify opportunities for portfolio growth, revenue enhancement, customer engagement, and profitability improvement.
• Develop actionable insights across the cardholder lifecycle including acquisition, activation, spend growth, retention, attrition prevention, and customer value management.
• Perform deep-dive analysis on portfolio trends, customer behaviors, merchant spend patterns, and market opportunities at market and group levels.
• Translate complex analytics into clear business recommendations for senior management and executive stakeholders.
• Produce senior management dashboards, business reviews, and strategic performance reports.
• Develop executive-ready presentations highlighting portfolio performance, emerging trends, growth opportunities, and risk indicators.
• Establish KPIs and performance measurement frameworks to support strategic planning and business reviews.
• Deliver insights and recommendations that influence product strategy, customer acquisition, marketing investments, loyalty initiatives, and portfolio management decisions.
• Automate recurring reporting and analytical processes to improve efficiency and scalability.
• Create reusable analytical assets, reporting templates, and insight-generation frameworks.
• Facilitate discussions with senior business leaders to understand business challenges and define analytics priorities.
• Present findings and recommendations to senior executives and decision-makers.

Skills

Python

SQL

Statistics

Data Visualization

Machine Learning

Gen AI tools

Executive storytelling

Stakeholder management

Education

Bachelor's or Master's in Data Science or related field

Tools

Excel

Cloud analytics platforms

Job description

We are seeking a highly analytical and commercially minded Data Scientist to work with an end client - a leading issuer bank in Singapore. The role will leverage our client's transaction data, issuer portfolio data, customer behavior data, and other relevant datasets to generate actionable insights, strategic recommendations, and executive-level reporting that support business decision-making.

This individual will serve as a trusted advisor to both our client and the end client leadership team, helping identify growth opportunities, improve portfolio performance, optimize customer engagement strategies, and drive measurable business outcomes through data-driven insights.

Key Responsibilities

Data Analytics & Strategic Insights

• Analyze large-scale transaction datasets to identify opportunities for portfolio growth, revenue enhancement, customer engagement, and profitability improvement.
• Develop actionable insights across the cardholder lifecycle including acquisition, activation, spend growth, retention, attrition prevention, and customer value management.
• Perform deep-dive analysis on portfolio trends, customer behaviors, merchant spend patterns, and market opportunities, at market and group levels.
• Translate complex analytics into clear business recommendations for senior management and executive stakeholders.

Executive Reporting & Decision Support

• Produce senior management dashboards, business reviews, and strategic performance reports.
• Develop executive-ready presentations highlighting portfolio performance, emerging trends, growth opportunities, and risk indicators.
• Establish key performance indicators (KPIs) and performance measurement frameworks to support strategic planning and business reviews.
• Deliver insights and recommendations that influence product strategy, customer acquisition, marketing investments, loyalty initiatives, and portfolio management decisions.
• Automate recurring reporting and analytical processes to improve efficiency and scalability.
• Create reusable analytical assets, reporting templates, and insight-generation frameworks.
• Facilitate discussions with senior business leaders to understand business challenges and define analytics priorities.
• Present findings and recommendations to senior executives and decision-makers.

Qualifications Required

• Bachelor's or master’s degree in data science, Statistics, Computer Science, Mathematics, Economics, Engineering, or a related quantitative discipline.
• 5+ years of experience in advanced analytics, data science, business intelligence, or consulting analytics.
• Experience working with large-scale datasets and developing business insights.
• Advanced proficiency in Python, SQL, and data analytics methodologies.
• Strong statistical analysis and data visualization skills.
• Experience developing executive-level presentations and reports.

Technical Skills

• Excel and advanced reporting tools
• Statistical modeling and machine learning techniques
• Data visualization and storytelling
• Experience with machine learning, predictive modeling, and customer segmentation.
• Experience on working with latest Gen AI tools/ platforms
• Cloud analytics platforms (preferred)
• Strong business and commercial acumen
• Executive communication and storytelling
• Strategic thinking and problem solving
• Stakeholder management and influencing skills