Data Scientist - Manager/AVP | Singapore, SG

OCBC; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

A leading financial institution in Singapore seeks an individual to drive AI innovation across the organization. The role involves collaborating with various business units to develop solutions using AI, with an emphasis on generative AI applications. Candidates should possess a Master or PhD in a quantitative field and have solid experience in Python and big data technologies. Competitive salary and benefits offered.

Benefits

Competitive base salary

Holistic, flexible benefits

Professional development opportunities

Qualifications

• Over 3 years of relevant work experience in AI and ML.
• Proficient in writing clear Python code and model documentation.
• Hands-on experience building AI model pipelines.

Responsibilities

• Collaborate with business units on AI and ML solutions.
• Develop generative AI applications.
• Build and operationalise RAG pipelines to improve decision-making.

Skills

AI and ML solutions

Python programming

SQL

Big data technologies

Creativity

Education

Master or PhD in relevant field

Tools

FastAPI

Ray Serve

Hadoop

Trino

Spark

Jira

Jenkins

GIT/Bitbucket

Job description

WHO WE ARE:
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

About the job
Who We Are
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

Role Summary

As part of the Group Data Office, you will play a pivotal role in driving AI innovation across the OCBC Group. You will work with vast volumes of structured and unstructured data to solve high-impact business problems, with a strong focus on generative AI applications.
In this role, you will:

• Collaborate closely with business units to understand their challenges and translate them into AI and ML solutions, particularly in the areas of conversational bots and content generation.
• Lead the development and deployment of generative AI applications that support monetisation initiatives across the bank.
• Build and operationalise Retrieval-Augmented Generation (RAG) pipelines and agentic AI workflows to enhance decision-making, automate complex tasks, and improve user experiences.
• Partner with the Business Units trading team to identify opportunities for workflow automation, enabling traders to focus on higher-value, revenue-generating activities.
• Assess, build, and operationalise AI solutions that are scalable, secure, and aligned with business objectives.

Specific Knowledge

Ideally with a Master or PhD degree in Statistics, Mathematics, Computer Science, Software Engineering or other quantitative field with more than 3 years of relevant work experience.
Solid understanding of software engineering design patterns and best practices.
Proficient in writing clear and effective Python code and model documentation.
Hands-on experience, building and deploying AI model pipelines into production.
Familiarity with model deployment via RESTful APIs with tools such as FastAPI and Ray Serve.
Experience with SQL and big data technologies such as Hadoop, Trino, and Spark.
Experience with chatbots and Elasticsearch is a plus.
Some experience in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
Have a passion for AI and ML, and want to learn more everyday

Communication & Soft Skills

Ability to execute in a fast-paced environment.
Creativity to see possibilities within the data & translate into compelling stories, decisions, and actions for non-technical business users.
Strong communication skills and drive to deliver business benefits in the real-world.
Genuine drive to learn and master new technologies and techniques.

What We Offer

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

What we offer:
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

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The longest-established Singapore bank, we’ve been helping people and businesses get what they want from life since 1932. How? By taking the time to t...

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