Business Function

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,establishcentresof excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.

Responsibilities

• Work with senior data scientists todesign, build and testmachine learning, GenAI, and agentic AI solutions for business use cases.

• Assistwith data preparation, exploratory data analysis, modeldevelopment,and evaluation.

• Helpmaintainproject documentation, experiment notes, code repositories, and reusable assets to support good team practices.

• Share the latest techniques and technologies in AI and data science, participatein a spirit of continuous learning with the team.

Requirements

• Currently pursuing a Bachelor’s orMaster’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field.

• Knowledge of machine learningandstatistics;basic knowledge ofsoftware development concepts.

• Hands-on experience with Python and common data science libraries such as Pandas, NumPy, scikit-learn, Matplotlib, orPlotly

• 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, Confluence

• Ability to workindependently, collaboratein a teamenvironment,and take guidance from experienced data scientists and project stakeholders.

Good to have

• Exposure totools or frameworks such asLangChain,LangGraph,Dify, Google Vertex AI, or similar platforms.

• Exposure to the GCP ecosystem of tools, such asBigQueryfor 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.

Apply Now

We offer a valuable internship opportunity to gain hands-on experience ina dynamicdata science and AI environment.

We regret that only shortlisted candidates will be notified.