We are a growing Singapore-based financial institution specialising in Accounts Receivable Purchase (ARP), asset-based lending, working capital and supply chain financing, leasing / hire purchase and other structured financing solutions for SMEs. Our mission is to help businesses optimise their cash flow and working capital through efficient and flexible financing options.
As part of our continued growth, we are seeking a dedicated Data Intern to join our Data Team at IFS Capital Limited, Singapore. This internship offers an excellent opportunity for individuals with a strong passion for data and eager to gain hands-on experience to expand project exposures
Responsibilities:
• Build database schemas, mappings, and ETL (Extract, Transform, Load) workflows.
• Develop and maintain data ingestion pipelines.
• Develop and maintain APIs
• Write SQL/Python scripts to query and process data from database.
• Create data visualization dashboards using Tableau.
• Assist machine learning model development.
• Configure AI Agent workflow to auto-fetch data from documents and web-searching.
Requirements:
• Students pursuing Diploma / Degree/ Fresh graduate in computer science, data science, software engineering, information technology, mathematics, physics, or any related discipline.
• Must be able to commit for a minimum of 4 months. Candidates who can commit more than 4 months are preferred.
• Strong problem-solving & analytical skills, critical thinking and resourceful.
• Positive attitude and willingness to learn.
• Excellent communication and collaboration skills.
• Proficient in SQL and Python.
• Proficient in databases.
• Familiar with REST APIs (e.g. Flask, Fast, etc.)
• Familiar with AI Agent Workflow
• Good knowledge of Cloud Computing i.e AWS, Azure, Google Cloud is a plus.
• Good knowledge of Snowflake, Tableau, ETL tools, Github is a plus.
Kindly note that only shortlisted candidates will be notified.
Related Job Searches:
- Company:
IFS Capital Limited - Designation:
Data Engineer - Profession:
IT / Information Technology - Industry:
Finance - Location:
Paya Lebar