Senior/Lead Data Scientist, AI Lab

Job Description - Senior/Lead Data Scientist, AI Lab (240000Z6)

Senior/Lead Data Scientist, AI Lab - ( 240000Z6 )

Overall Role Purpose:

• Working within the Group Data Science, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the OCBC Group.
• You will work closely with business to understand their problem statements and transform them into ML and AI challenges when needed.
• You will work on AI and Generative AI, assessing, building, and serving AI applications for conversational bots and content generation.

Responsibilities:

• Work with business leaders across OCBC Group to identify opportunities for leveraging big data and Data Science to drive value for our customers and business.
• Develop and maintain machine learning/deep learning models to achieve the desire business outcomes – such as trading algorithm, targeting models or building Agentic systems to handle complex workflows.
• Coordinate with different functional teams to deploy models and smart applications into Production of complex and large pretrained and fine tune models.
• Use MLOps processes and tools to monitor and refine Production model performance and accuracy.

Specific Knowledge:

• 5 years+ of experience manipulating data sets and building statistical models , ideally with a Master’s or PhD in Statistics, Mathematics, Computer Science or other quantitative field.
• Experience leading a team.
• Strong programming experience, with solid understanding of software engineering design patterns and best practices.
• Experience with big data technologies such as Hadoop, Trino and VectorDB (elastic).
• Ideally experience in On-premise distributed Framework for serving and training
• Experienced in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
• Ideally has track record of deploying Machine Learning solutions into Production at scale for AI and GenAI.

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.