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Please Note

  • An estimate based on public data for similar roles. Not provided by the employer.

Vice President, Data Scientist, Group Retail

Singapore UOB Bank Estimated salary: Approximately SGD 120,000–180,000 per year, potentially higher with performance bonus and benefits
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

The role typically requires a degree in data science, computer science, statistics, mathematics, engineering, or a related discipline, together with substantial experience in data science, machine learning, customer analytics, or retail banking. Candidates should be comfortable using Python, SQL, statistical modelling, machine-learning techniques, and data visualisation tools. Experience with large datasets, cloud or modern data platforms, and deploying analytical models is valuable. As a Vice President in Group Retail, the candidate is expected to lead analytical initiatives, translate business problems into data solutions, communicate insights clearly to senior stakeholders, and deliver measurable improvements in customer engagement, risk management, product performance, and operational efficiency. Strong leadership, collaboration, commercial awareness, and knowledge of banking regulations are also expected.

About the employer

United Overseas Bank (UOB) is a major Singapore-headquartered bank serving consumers, businesses, and institutions across Asia. Founded in 1935, it has a broad regional presence, particularly in Singapore, Malaysia, Indonesia, Thailand, Vietnam, and China, supported by additional international offices. UOB provides retail and commercial banking, corporate banking, wealth management, investment banking, treasury, and digital financial services. The bank has expanded its consumer and digital capabilities through technology, data, and regional connectivity, while maintaining a strong focus on risk management and long-term customer relationships. Its Group Retail business covers products and services such as deposits, cards, lending, payments, wealth solutions, and customer experience. The organisation offers opportunities to work on large-scale banking datasets and regional transformation initiatives, making it relevant for professionals interested in applying analytics, artificial intelligence, and machine learning to financial services.

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