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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
Job ID: 144174629