Data Engineer jobs in Singapore

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Posting Date: 20 May 2025

Location:

Singapore (City Area), SG, 048624

Company: United Overseas Bank Ltd

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Enterprise AI (EAI) will focus on delivering AI and machine learning models developed in collaboration with business and support units, and driving the adoption of GenAI self-help across the Bank for value creation. EAI will spearhead the AIDA Center of Excellence, as well as own and manage the enterprise AI platforms.

The role is a key member of Enterprise AI to engage with users, to develop and deploy AI and Gen AI capabilities and applications, for business and support units, and deliver impactful outcomes.

Your main responsibilities are to:

• Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver AI and GenAI driven business use cases.
• Develop and successfully execute plans aligned with strategic project and business objectives.
• Develop performant AI and Gen AI capabilities through thoughtful research and experimentation.
• Develop and deploy AI and Gen AI applications with agile prototyping.
• Integrate AI and Gen AI capabilities and applications into the bank's ecosystem.
• Stay abreast of fast emerging AI and Gen AI technological advancements, industry best practices, architecture, software resources and paradigms.
• Engage and manage stakeholder interactions and expectations.
• Provide deep expertise and advisory on AI and Gen AI to diverse stakeholders.
• Contribute to AI and Gen AI related validation, guardrail and benchmarking exercises.

• Min Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles. GenAI related thesis/publications highly preferred.
• Achieved consistent success in framing rigorous and data driven approaches to solve highly complex business use cases or academic problems.
• Min 5 years of advanced data science working or research experience, preferably in banking / financial services / quant / consulting industry.
• Self-motivated team player, able to ideate innovative solutions and work independently.
• Proven record in developing AI applications using transformer models, boosting models, and other advanced techniques.
• Highly skilled and successful in end-to-end LLM deployment, with 1.5 years full-time experience. Demonstrable achievements is a must.
• Demonstrable expertise and experience in adjacent topics such as Agentic AI /Visual /Audio /Multimodal generation highly preferred.
• Python programming and large data handling abilities. Highly skilled with common data science and LLM packages such as Pytorch and LangChain.
• Experienced in general end-to-end data science solution delivery and assorted tools.
• Ability to communicate analytic findings clearly and convincingly to business.
• Skilful in agile project management practices.
• Experience with data visualization packages and/or tools a plus.

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.