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Data Scientist, Client Consultant (Contract)

ARGYLL SCOTT CONSULTING PTE. LTD.•CAPITAGREEN, 138 MARKET STREET, 048946, Singapore
ContractJUNIOR
S$5,000 - S$7,000/month
👁️ 0 views•📝 0 applications•Posted 11/3/2026•Expires 12/3/2026
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Job Description

Data Scientist, Client Consultant (Contract) Location: Singapore Contract Type: 12 months contract (Extendable & Convertible) Keywords: Data Science, Python, SQL, Payments Analytics, Portfolio Analytics, Customer Segmentation, Predictive Modelling, Power BI, Tableau, Machine Learning Role Overview A global payments technology organisation is seeking a Data Scientist to support a leading financial institution in Singapore.

The role focuses on analysing transaction, customer behaviour, and banking portfolio data to generate actionable insights, improve portfolio performance, and support strategic business decisions.

Working closely with business stakeholders and senior leadership, the successful candidate will translate complex analytical findings into commercial recommendations, executive-level reporting, and opportunities to improve customer engagement and portfolio profitability.

Key Responsibilities

• Analyse large-scale transaction and portfolio datasets to identify opportunities for revenue growth, customer engagement, portfolio optimisation, and profitability improvement.

• Conduct detailed analysis across the customer lifecycle, including acquisition, activation, spending behaviour, retention, attrition prevention, and customer value management.

• Evaluate portfolio trends, customer behaviour, merchant spending patterns, and market opportunities at both individual market and group levels.

• Translate analytical findings into practical business recommendations supporting product strategy, customer acquisition, marketing investments, loyalty initiatives, and portfolio management.

• Develop management dashboards, strategic performance reports, business reviews, and executive presentations covering portfolio performance, emerging trends, growth opportunities, and risk indicators.

• Establish key performance indicators (KPIs) and performance measurement frameworks to support strategic planning, performance monitoring, and business reviews.

• Automate recurring repo

Required Skills

Attrition ManagementData ScienceKPI ManagementLeadershipMachine LearningPortfolio ManagementPower BIPythonRevenue GrowthSQLStrategic PlanningTableau

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