Job Description

Overall Role Purpose:

• Working within the Group Data Science CoE, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the OCBC Group to increase revenues and deliver a great customer experience, improved productivity and reduce risk.
• You will work closely with business to understand their problem statements & apply Data Science and analytics techniques to develop productionised solutions to capture the opportunity and generate business value.
• You will work on Generative AI, assessing, building and serving Transformer models, LLM and other to create business values

• 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.
• Partner with Data Engineering to source internal & external datasets for analysis
• Develop and maintain machine learning/deep learning models to achieve the desire business outcomes - such as marketing recommendations, fraud detection or credit scoring.
• 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.

• 4 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.
• Strong programming experience, with solid understanding of software engineering design patterns and best practices.
• Experience with big data technologies such as Hadoop, Impala and Hive. Familiarity with SQL-like languages.
• Expertise in Transformers model applied to real world problem. Experience in Fine-Tuning, prompting, deploying LLM.
• 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.

• 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.

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