AVP/ Senior Associate, Specialist, Data Scientist

Business Functions

As the leading bank in Asia, Transformation & Data (T&D) supports our management on the implementation of the Group’s agenda. Data Chapter, organized under T&D, is committed to create synergies between the data analytics functions across the bank, establish centres of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.

Responsibilities 

• Manage complex, high-impact data science and AI initiatives end to end, from problem framing and requirements discovery through data exploration, model development, deployment, monitoring, and continuous improvement. 

• Partner with business,technology and governance stakeholders to deliver AI solutions to agreed scope, budget, timelines, and measurable business outcomes. 

• Define and implement robust model governance - evaluation, monitoring, and responsible AI controls - for production-grade AI and machine learning solutions. 

• Promote strong standards for data science and AI project development and a spirit of continuous learning in the team. 

Requirements 

• Advanced degree in a quantitative field, such as Computer Science, Statistics, or Applied Mathematics. 

• 3 to 8 years of experience in data science, machine learning, and AI, with a proventrack record of developing enterprise-scale, production-grade data science / machine learning / AI initiatives as a key individual contributor. 

• Proficient in Python, SQL,PySpark, and data science frameworks such as Pandas and scikit-learn. 

• Proficient in data visualization tools such as Matplotlib andPlotly, with the ability to derive actionable insights from data. 

• Hands-on experience with LLMs, prompt engineering, RAG, agentic AI frameworks such asLangChain orLangGraph, and evaluation approaches. 

• Experience developing agentic applications on platforms such asDify or Google Vertex AI. 

• Experience in creating and using synthetic data for development and validation purposes. 

• Strong engineering practices, including version control with Git, writing clean and maintainable code, performing code review. 

• Good documentation habits, with an openness to learning and sharing. 

• Strong understanding of agile software development methodologies, with experience using tools like Jira and Confluence. 

• Strong ability to understand a business process and deliver value through abespoke AI / ML solution. 

• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly insights. 

Good to have 

• Experience with the GCP ecosystem of tools, e.g.,BigQuery for querying and manipulating datasets, Vertex AI forML and agentic AI workflows. 

• Hands-on experience in deploying and monitoring machine learning and AI models in production environments. 

• Experience with CI/CD, andcontainerisation practices. 

• Experience working in financial / regulated industries, with an appreciation for model risk governance and responsible AI principles. 

Apply Now 

We offer a competitive salary and benefits packagecommensurate with your experience and the professional advantages of a dynamic environment. 

We regret that only shortlisted candidates will be notified. 

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