Data Analysis Trainee, Banking, full-time (Welcome FG!)

PERSOL; Hong Kong; On-site; HKD 167,000 - 290,000; Full time

Job summary

Singapore Bank seeks a Data Analysis Trainee to support the Transformation & Data team. You will work with senior data scientists to design, build and test ML, GenAI and agentic AI solutions for business use cases.

You will assist with data preparation, exploratory data analysis, model development and evaluation, and help maintain docs, code and assets while learning new AI techniques alongside the team.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• Knowledge of ML and statistics; basic software concepts.
• Hands-on with Python and data science libraries (Pandas, NumPy, scikit-learn, Matplotlib, Plotly).
• Familiarity with SQL and structured datasets.
• Interest in GenAI, LLMs, prompt engineering, RAG and agentic AI.

Responsibilities

• Work with senior data scientists to design, build and test ML, GenAI and agentic AI solutions.
• Assist with data preparation, exploratory data analysis, model development and evaluation.
• Maintain project docs, experiment notes, code repos and reusable assets.
• Share techniques and technologies in AI, learning continually with the team.

Skills

Python

Pandas

NumPy

scikit-learn

Matplotlib

Plotly

SQL

GenAI

LLMs

Prompt engineering

Git

Jira

Confluence

Analytical thinking

Communication

Education

Bachelor's in CS/DS/Engineering/Math

Master's in related field

Tools

LangChain

LangGraph

Dify

Vertex AI

BigQuery

GCP

Job description

Data Analysis Trainee, Banking, full-time (Welcome FG!)

Our client is a reputable leading Singapore bank. They are seeking for a Data Analysis Trainee to support their Transformation & Data (T&D) team.

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, participate in a spirit of continuous learning with the team.

Requirements

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, 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.

Central, Central and Western District, HK