Data Scientist (12 month contract)
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).
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