Data Science - Internship

Business Function

As the leading bank in Asia, Transformation & Data (T&D) supports our management on the implementation of the Group’s agenda. The Data Chapter, organized under T&D, is committed to creating synergies between data analytics functions across the bank by establishing centres of excellence, shared services, and reusable data assets. It also aims to enhance career opportunities and foster a sense of community for data professionals.

Responsibilities

• Work with senior data scientists to design, build, and test machine learning, GenAI, and agentic AI solutions for business use cases.
• Assist with data preparation, exploratory data analysis, model development, and evaluation.
• Help maintain project documentation, experiment notes, code repositories, and reusable assets to support good team practices.
• Share the latest techniques and technologies in AI and data science, and participate in a spirit of continuous learning with the team.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field.
• Knowledge of machine learning and statistics; basic knowledge of software development concepts.
• Hands-on experience with Python and common data science libraries such as Pandas, NumPy, scikit-learn, Matplotlib, or Plotly.
• Familiarity with SQL and working with structured datasets.
• Interest in GenAI, LLMs, prompt engineering, RAG, agentic AI, and related technologies.
• Good analytical thinking, problem-solving skills, curiosity, and willingness to learn.
• Good documentation habits and the ability to communicate findings clearly in written and verbal form.
• Basic familiarity with Git, Jira, and Confluence.
• Ability to work independently, collaborate in a team environment, and take guidance from experienced data scientists and project stakeholders.

Good to Have

• Exposure to tools or frameworks such as LangChain, LangGraph, Dify, Google Vertex AI, or similar platforms.
• Exposure to the GCP ecosystem of tools, such as BigQuery for querying datasets or Vertex AI for ML and GenAI experimentation.
• Experience from academic projects, internships, hackathons, Kaggle competitions, or personal data science projects.
• Basic understanding of responsible AI, model evaluation, data privacy, or model risk governance concepts.
• Interest in financial services, banking, or regulated industries.

Application Details

Location: One Island East
Job: Analytics
Schedule: Regular