Senior Associate Data Scientist Campaign Management
DBS Bank Ltd is a Singapore-based bank providing personal, SME, corporate, institutional, wealth management, financial markets, and digital banking services. Its clients include consumers, small and medium-sized businesses, corporations, and institutional customers.
About DBS Bank Ltd
DBS Bank Ltd provides banking products and services including accounts, cards, insurance, loans, investments, digital banking, payments, trade finance, foreign exchange, commodities, investment solutions, and derivatives clearing. Through its SME business, it supports businesses with financing, cash-flow management, online banking through DBS IDEAL, sustainability programmes, and business-growth initiatives. The bank serves personal customers, SMEs, corporate and institutional clients, and wealth-management customers across its regional markets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop customer segmentation and analyze journeys to identify campaign opportunities. You will manage end-to-end campaigns, translate requirements into targeting logic and deployment plans, and build, monitor, and enhance predictive models for propensity, churn, offers, lifetime value, and uplift.
Requirements
- Bachelor’s degree in mathematics, statistics, or data science
- Python
- SQL
- Predictive modeling
- Customer segmentation
- Classification and regression models
- Forecasting models
- Recommendation engines
- Model performance evaluation
- Power BI
- Tableau
- Communication and stakeholder-management skills
- Project and deadline management
Responsibilities
- Develop customer-segmentation frameworks using behavior, demographics, transaction patterns, and product holdings
- Identify optimal campaign channels to maximize revenue and customer engagement
- Analyze customer journeys and identify acquisition, cross-sell, up-sell, retention, and reactivation opportunities
- Generate actionable insights for business and marketing strategies
- Manage end-to-end campaign execution across products, channels, and customer segments
- Translate business requirements into campaign logic, target criteria, and execution plans
- Prepare campaign schedules and coordinate deployment timelines
- Ensure accurate campaign execution within agreed SLAs
- Build and maintain predictive models for propensity to buy, propensity to churn, next best offer, customer lifetime value, and response or uplift
- Monitor model performance and recommend enhancements