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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