MoneyMax Financial Services Ltd – Data Science & Analyst Intern

Company
MoneyMax Financial Services Ltd
skjewellery.com
Designation
Data Science & Analyst Intern
Date Listed
28 Feb 2026
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Flexible Start, For At Least 6 Months
Profession
IT / Information Technology
Industry
Retail / eCommerce
Location Name
Changi Business Park Vista, Sookee HQ, Singapore
Address
7 Changi Business Park Vis, #01-01, Singapore 486042
Map
Allowance / Remuneration
$800 - 1,200 monthly
Company Profile

MoneyMax Financial Services Ltd. is a company listed on the Singapore Exchange since 2013. The Group is a leading financial services provider, retailer and trader of luxury products in Southeast Asia. The Group provides both pawnbroking services as well as secured financing services. From its first store in Singapore in 2008, the Group has expanded to over 90 stores in both Singapore and Malaysia, making it one of the largest pawnbroking chains in the region. 

Job Description

We are seeking a highly analytical and technically proficient Data science & Analyst Intern to join us. This position represents a unique opportunity to operate at the intersection of advanced machine learning and strategic business analytics.

Responsibilities

  • Support advanced SQL queries to deliver meaningful data insights
  • Perform data cleaning, preprocessing, and transformation using Python (Pandas, NumPy).
  • Conduct exploratory data analysis to identify trends, anomalies, and business opportunities.
  • Assist to develop interactive dashboards and automated reports using Power BI or Metabase.
  • Assist to build, train, and validate machine learning models (Regression, Classification) using scikit-learn or PyTorch.
  • Perform hyperparameter tuning and model optimization using tools such as Optuna.
  • Assist in integrating predictive models into production systems via REST APIs.
  • Document model logic, analytical findings, and API specifications using Git and Swagger.

Requirements

  • Currently pursuing or have completed a diploma/degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
  • Strong programming proficiency in Python OR Node.js.
  • Hands-on experience creating dashboards with Power BI or Metabase.
  • Solid command of SQL for database management and querying.
  • Familiarity with data science libraries such as Pandas, NumPy, and scikit-learn.
  • Basic understanding of REST APIs and backend integration.
  • Strong analytical skills with the ability to interpret complex datasets.
  • Good communication, documentation, and collaboration skills
  • Exposure to Deep Learning frameworks (e.g., PyTorch) would be of advantage
  • Interest in FinTech, Credit Risk, or Retail Analytics would be of advantage
Application Instructions
Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

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