Senior Associate Data Scientist Data Chapter
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 consult business stakeholders on complex challenges and develop, deploy, and productionise data-driven solutions. You will analyse structured and unstructured data, build predictive and hyper-personalisation models, improve machine-learning processes, and communicate technical work clearly to stakeholders.
Requirements
- 6–9.5 years of experience
- Statistics
- Mathematical modeling
- Machine learning
- Generative AI frameworks
- LangChain
- Langflow
- Google ADK
- Prompt engineering
- Decision Trees
- Random Forest
- Gradient Boosting
- Classification
- Regression
- Production deployment
- Python
- PySpark
- SQL
- Written communication
- Verbal communication
- Problem-solving
- Banking analytics
- Banking modeling
Responsibilities
- Consult business stakeholders to understand complex challenges and devise data-driven solutions
- Develop, deploy, and productionise data-driven solutions
- Improve machine-learning development and deployment processes
- Identify opportunities by analysing structured and unstructured data
- Build predictive models for customer management and revenue growth
- Develop and deploy hyper-personalisation solutions
- Own assigned tasks from inception through completion
- Communicate technical work clearly to business stakeholders