Data Science Lead (ED)

Job Description - Data Science Lead (ED) (250000FR)

OVERALL ROLE PURPOSE:

Working within the Group Data Science team, 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:

1. Work with business leaders across OCBC Group, leading a Data Science squad to identify opportunities for leveraging big data, conventional AI, and Gen AI techniques to drive value for our customers and business.
2. Targeted use cases would focus on improving the banks’ day-to-day operational efficiencies, reducing risks, and enhancing our clients’ customer experiences.
3. Partner with Data Engineering to source internal & external datasets for analysis.
4. Develop and maintain machine learning/deep learning models to achieve desired business outcomes, such as marketing recommendations, fraud detection, or credit scoring.
5. Coordinate with different functional teams to deploy models and smart applications into Production.
6. Produce complex and large pretrained and fine-tuned models.
7. Use MLOps processes and tools to monitor and refine Production model performance and accuracy.

REQUIREMENTS:

Specific Knowledge:

1. Experience manipulating data sets and building statistical models, with a background in Statistics, Mathematics, Software Engineering, Computer Science, or other quantitative fields.
2. Experience leading a team of seasoned Data Scientists with exposure to cross-functional team leadership.
3. Hands-on programming experience, with a solid understanding of AI/software engineering design patterns and best practices. Experience with big data technologies such as Hadoop, Trino, and VectorDB (elastic), Ray.
4. Ideally, experience in On-premise distributed Framework for serving and training models.
5. Ideally, experience with large language model fine-tuning and distilling.
6. Experienced in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket. Ideally has a track record of deploying Machine Learning solutions into Production at scale for AI and GenAI.

Communication & Soft Skills:

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