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AVP, Data Scientist (Gen AI), DMO Job Opening In Singapore, Singapore – Now Hiring UOB


Job description

Overview

Join to apply for the AVP, Data Scientist (Gen AI), DMO role at UOB

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.

Role context

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

GenAI is a strong assistive technology and multiplier for a large variety of tasks and processes.

Enterprise GenAI based capabilities developed, customized and scaled for production use cases will significantly increase work productivity and expand the capabilities envelope for the Bank.

Your main responsibilities

  • Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver GenAI driven business use cases.

  • Develop and successfully execute plans aligned with strategic project and business objectives.

  • Develop performant Gen AI capabilities through thoughtful research and experimentation, and thinking from first principles.

  • Develop and deploy Gen AI applications with agile prototyping.

  • Integrate Gen AI capabilities and applications into the bank's ecosystem.

  • 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 Gen AI to diverse stakeholders.

  • Contribute to Gen AI related validation, guardrail and benchmarking exercises.

  • To enrich skillsets and increase exposure for our data scientists, each will also contribute in a secondary and significant task, in this case on Market Portfolio/Econometric Modelling.

Job requirements

  • 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 on GenAI topics 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.

  • Highly skilled and successful in end-to-end GenAI/LLM deployment, 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 adjacent topics such as Agentic AI /Visual /Audio /Multimodal generation highly preferred.

  • Passion and some expertise and experience in Market Portfolio Optimization, Econometric Modelling or Forecasting 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.

  • Skillful 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.

Seniority level

  • Executive

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Banking

Apply now and make a Difference

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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at UOB adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for AVP, Data Scientist (Gen AI), DMO Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for AVP, Data Scientist (Gen AI), DMO typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AVP, Data Scientist (Gen AI), DMO Job Success

UOB interview tips for AVP, Data Scientist (Gen AI), DMO

Here are some tips to help you prepare for and ace your AVP, Data Scientist (Gen AI), DMO job interview:

Before the Interview:

Research: Learn about the UOB's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AVP, Data Scientist (Gen AI), DMO interview at UOB, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the UOB's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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