Bank of Singapore opens doors to new opportunities.
At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork and fairness. Most importantly, we invest in our people through our programmes that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group’s global network of subsidiaries and offices. If you have passion, drive and the will to succeed, rise to the challenge today!
Bank of Singapore opens doors to new opportunities.
At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork, and fairness. Most importantly, we invest in our people through our programs that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group’s global network of subsidiaries and offices. If you have passion, drive, and the will to succeed, rise to the challenge today!
The Senior Data Scientist will sit within the Data Hub and work closely with business, technology, and risk stakeholders to design, build, and deploy advanced analytics and AI-driven solutions.
The role contributes to the full data science lifecycle, from problem framing and exploratory analysis through to model development, deployment, and ongoing performance monitoring.
This role does not carry formal sign-off authority, but is accountable for technical quality, delivery outcomes, and providing well-founded recommendations to product owners, business stakeholders, and relevant governance forums.
Key Responsibilities
Data Science & Advanced Analytics
Frame business problems into clear, testable analytical or machine-learning use cases
Perform exploratory data analysis to identify patterns, drivers, and opportunities
Develop, validate, and evaluate statistical, machine learning, or AI models
Apply appropriate techniques across areas such as predictive modelling, anomaly detection, segmentation, and optimisation
Model Development & Deployment
Build production-quality models using modern data science and ML frameworks
Work with engineering and platform teams to deploy models into controlled environments
Ensure model pipelines are robust, scalable, monitored, and well-documented
Maintain and enhance models post-deployment, including performance monitoring and retraining strategies
Stakeholder Engagement & Product Delivery
Partner closely with business users to understand priorities and success metrics
Translate analytical findings into clear, actionable insights and recommendations
Present results, trade-offs, and limitations to technical and non-technical audiences
Contribute to roadmaps and prioritisation of data science initiatives
Best Practices & Continuous Improvement
Uphold standards for data quality, reproducibility, and responsible AI usage
Contribute to reusable assets, templates, and common analytics patterns
Mentor junior data scientists and contribute to capability building within the team
Stay current with emerging techniques, tools, and industry best practices
Work Experience & Technical Skills
Typically 5–8+ years of experience in data science, analytics, or applied machine learning roles
Strong proficiency in Python and SQL; experience with modern data science libraries and frameworks
Solid understanding of statistics, machine learning, and model evaluation techniques
Experience deploying models into production environments (cloud or on‑prem)
Familiarity with data visualisation and reporting tools is an advantage
Exposure to cloud platforms and MLOps practices is preferred but not mandatory
Soft Skills & Competencies
Strong problem-structuring and analytical thinking skills
Comfortable working end‑to‑end, from ambiguity to delivery
Able to communicate complex ideas clearly to diverse stakeholders
Collaborative team player who works effectively across business, IT, and risk functions
Demonstrates ownership, intellectual curiosity, and a continuous-improvement mindset
Comfortable operating in regulated or governance-conscious environments
OCBC is the longest established Singapore bank, formed in 1932 from the merger of three local banks, the oldest of which was founded in 1912. It is now the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.
OCBC and its subsidiaries offer a broad array of commercial banking, specialist financial and wealth management services, ranging from consumer, corporate, investment, private and transaction banking to treasury, insurance, asset management and stockbroking services.
OCBC’s key markets are Singapore, Malaysia, Indonesia and Greater China. It has more than 570 branches and representative offices in 19 countries and regions. These include about 300 branches and offices in Indonesia under subsidiary Bank OCBC NISP, and over 90 branches and offices in Mainland China, Hong Kong SAR and Macau SAR under OCBC Wing Hang.
OCBC’s private banking services are provided by its wholly-owned subsidiary Bank of Singapore, which operates on a unique open-architecture product platform to source for the best-in-class products to meet its clients’ goals.
OCBC's insurance subsidiary, Great Eastern Holdings, is the oldest and most established life insurance group in Singapore and Malaysia. Its asset management subsidiary, Lion Global Investors, is one of the largest private sector asset management companies in Southeast Asia.
