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!
The Team Lead – Data Science & AI Engineering will be part of the COO Data Hub and will play a key role in supporting strategic initiatives in building and maintaining AI/ML applications.
With a strategic cloud platform being onboarded , the Data Hub is expected to:
Support production deployment and ongoing maintenance of AI solutions
Validate and govern AI/ML models
Provide implementation support, code reviews, and best practices
Enable multiple business use cases leveraging AI and advanced analytics capabilities available on the cloud platform
This role is designed to close critical capability gaps by providing technical leadership, hands‑on expertise, and delivery ownership across AI/ML solutions running in a regulated, production‑grade environment.
Key Responsibilities
Technical & Delivery Leadership
Act as team lead for a small group of data scientists and AI / software engineers
Provide technical direction, coaching, and mentoring to ensure high engineering and data science standards
Own solution design decisions and review architecture, code, and model implementations
Promote best practices in model development, MLOps, software engineering, and documentation
Productionisation & MLOps
Drive the transition of POCs and experimental models into production
Design and implement MLOps pipelines covering:
CI/CD for models and data pipelines
Model deployment, versioning, and rollback
Monitoring for data drift, model performance, and operational health
Ensure solutions are reliable, maintainable, and cost‑efficient in production
AI / ML Solution Development
Lead end‑to‑end delivery of AI and ML use cases, including:
Data exploration and feature engineering
Model development, training, evaluation, and validation
Model performance monitoring and retraining strategies
Support model validation activities in line with internal model risk management and governance requirements
Cloud Engineering
Design and operate AI and data workloads on Cloud Platform
Leverage Cloud services such as (but not limited to):
BigQuery, Cloud Storage
Vertex AI and related ML services
GKE / container‑based workloads
Work closely with cloud and platform teams to align with security, IAM, networking, and operational standards
Stakeholder & Cross‑Team Collaboration
Act as a bridge between business, data science, engineering, cloud, and governance teams
Translate business problems into well‑defined technical solutions and delivery plans
Provide implementation guidance and technical input to multiple teams seeking to leverage GCP AI capabilities
Work Experience Requirement
8+ years of experience in data science, software engineering, or related roles
Proven experience as a technical team lead or hands‑on manager for small teams
Strong track record of moving AI / data solutions from POC to production
Practical experience operating workloads in cloud environments, preferably Google Cloud Platform
Experience working in regulated or risk‑sensitive environments is a strong advantage
Strong programming skills in languages such as Python, JS
Solid understanding of:
Data pipelines and analytics workflows
Software engineering best practices
Hands‑on experience with following is preferred:
GCP services (BigQuery, GKE, Vertex AI, IAM, monitoring)
Containerisation (Docker) and orchestration (Kubernetes)
CI/CD pipelines and Infrastructure as Code (e.g. Terraform)
Familiarity with MLOps concepts and tooling
Soft Skills & Competencies
Strong leadership and mentoring skills, with the ability to guide and develop team members
Excellent communication skills, able to explain complex technical concepts to non‑technical stakeholders
Comfortable operating in ambiguity and driving initiatives with partial information
Structured problem‑solver with a data‑driven and pragmatic mindset
Autonomous, curious, and proactive, with a strong sense of ownership
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.
