Data Scientist

2 weeks ago

Singapore OCBC Full time

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. 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. Can be individual contributor, can relax the team management aspect. 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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