Data Scientist (12 month contract)

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking a highly analytical Data Scientist for a leading issuer bank in Singapore. You will work on data-driven strategies across the cardholder lifecycle and executive reporting.

The role emphasizes translating insights into business decisions, building dashboards, and leveraging GenAI tools with cloud analytics; collaboration with senior leadership to shape product strategy and customer engagement.

Qualifications

• Bachelor's or Master's in a quantitative field.
• 5+ years in advanced analytics, data science or BI.
• Experience with large-scale datasets and deriving business insights.
• Proficient in Python and SQL; strong stats and visualization.
• Experience with machine learning and customer segmentation.
• Familiar with GenAI tools and platforms.
• Experience with cloud analytics preferred.

Responsibilities

• Analyze large Visa datasets to identify growth opportunities.
• Create executive dashboards and performance reports.
• Define KPIs and measurement frameworks for strategy.
• Present findings to senior leaders.
• Automate recurring reporting and develop reusable assets.
• Collaborate with stakeholders on analytics priorities.

Skills

Python

SQL

Statistics

Data visualization

Machine learning

GenAI tools

Communication

Education

Bachelor's or Master's in Data Science/Statistics/CS/Math/Engineering

Tools

Cloud analytics platforms

Job description

About the Role

We are seeking a highly analytical and commercially minded Data Scientist to work with our client, a leading issuer bank in Singapore.

Data Analytics & Strategic Insights

• Analyze large-scale Visa 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.

Data Visualization & Automation

• 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.
• Experience with machine learning, predictive modeling, and customer segmentation.
• Experience working with the latest GenAI tools and platforms.
• Cloud analytics platforms (preferred).