AVP, Data Scientist, AI Labs, Innovation Group
Summary
Build and deploy AI-driven solutions like voice-to-text, LLM analytics, and GenAI agents to solve complex banking challenges using deep learning and Python.
About UOB 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. Job Description The Innovation Group is the centralised innovation, data and science function within UOB Group to support its units and their business and analytical needs. IG aims to be the spearhead driving rapid innovation and analytics adoption across the Group. AI Labs is focused on the research and development of products and capabilities, selected for high strategic value and enterprise-level coverage, with product monetization and capability performance towards project delivery as key outcomes. As a core member of AI Labs, you will have the opportunity to build highly impactful and innovative solutions towards resolving real world challenges, along the rewarding and fulfilling journey with UOB. Current focus areas include: Voice-to-Text, LLM-based Analytics, GenAI Agents, Portfolio Management and Forecasting. Job Responsibilities
- Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver business motivated products and capabilities.
- Develop and successfully execute products and plans aligned with strategic project and business objectives.
- Develop strategic performant capabilities through thoughtful research, experimentation and agile prototyping.
- Stay abreast of fast emerging AI SOTA technological advancements, industry best practices, architecture, software resources and paradigms.
- Engage and manage stakeholder interactions and expectations.
- Provide deep expertise and advisory on data science to diverse stakeholders.
- Min Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles. AI 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 research / engineering / banking / financial services / quant / consulting industry.
- Self motivated team player, able to ideate innovative solutions and work independently.
- Highly skilled and successful in end-to-end related AI capabilities or product research-development, with 1.5 years full-time experience. Demonstrable achievements is a must.
- Strong and demonstrable expertise and experience in Deep Learning a must.
- Demonstrable expertise and experience in certain topics such as Reinforcement Learning, Causal Inferencing, Probabilistic Bayesian, advanced Econometric Modelling highly preferred.
- Demonstrable expertise and experience in GenAI topics such as LLM, Multimodal LM highly preferred.
- Python programming and large data handling abilities. Highly skilled with common data science packages such as Pytorch.
- Experienced in general end-to-end data science solution delivery and assorted tools.
- Ability to communicate analytic findings clearly and convincingly to business.
- Skillful in agile project management practices.
- Experience with data visualization packages and/or tools a plus.