Assistant VP, Data Scientist at United Overseas Bank Limited Co

Phoenix, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI Applications, GenAI, Python Programming, Large Data Handling, Agile Project Management, Stakeholder Management, Data Visualization, Machine Learning, Transformer Models, End-to-End LLM Deployment, Quantitative Reasoning, Research, Experimentation, Collaboration, Communication

Industry

Banking

Description

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 Enterprise AI (EAI) focuses 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. We are looking for a Data Scientist, 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. Qualifications: 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. Additional Requirements Be a Part of the UOB Family 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. Apply now and make a Difference Together, Let’s Build the Future of ASEAN We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. Explore career opportunities with us today. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region. Career Site: UOB Career site

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Responsibilities

The Assistant VP, Data Scientist will collaborate with various teams to evaluate and deliver AI and GenAI driven business use cases. They will also develop and deploy AI applications and integrate these capabilities into the bank's ecosystem.