Real Estate Analytics Pte Ltd – Data Science / Data Analyst Intern

Company
Real Estate Analytics Pte Ltd
rea-sg.com
Designation
Data Science / Data Analyst Intern
Date Listed
13 Mar 2026
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 3 Months
Profession
IT / Information Technology
Industry
Real Estate
Location Name
Raffles Place, Raffles Place MRT Station (NS26/EW14), Singapore
Address
5 Raffles Pl, Singapore 048618
Map
Allowance / Remuneration
$800 - 1,200 monthly
Company Profile

Real Estate Analytics Pte Ltd is a Singapore-based company that provides real estate data analytics and insights. We offer a wide range of analytical tools and services to help individuals and businesses make informed decisions about real estate investments and transactions. 

Job Description

We are looking for an intern to assist in collecting, cleaning, and analyzing datasets to generate business insights. Support dashboard creation, data visualization, and basic statistical analysis while helping the team prepare reports and improve data-driven decision making.

Key Responsibilities 

  • Involve in the process to build, validate, test, and deploy machine learning models or algorithms to solve real estate related problems 
  • Have chances to optimise or design and build new framework and automation tools to enable teams to consume and understand data faster 
  • Support various stakeholders by proposing and implementing data science models to extract insights 
  • Perform data cleaning, exploratory analysis, and quality checks to ensure reliable model inputs
  • Analyze large datasets to identify trends, anomalies, and market patterns in property transactions and listings 

Qualifications & Requirements 

  • Pursuing or recently completed a Bachelor’s or Master’s degree in Computing, Data Science, Statistics, Engineering, or a related field
  • Strong Python programming skills, including experience with pandas, NumPy, and scikit-learn Familiarity with SQL and working with relational databases
  • Basic understanding of statistics and machine learning concepts
  • Knowledge in computer vision and NLP, LLM is a plus Knowledge in Big Data (Spark, Hadoop/Hive) and real-time analytics is a plus

What You Will Gain 

  • Hands-on experience working with real-world real estate datasets
  • Exposure to machine learning models used in production systems
  • Experience with large-scale data pipelines and analytics workflows
  • Opportunity to contribute to real products used by the real estate industry 

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