Data Scientist Intern (6 Months)

Healthway Medical Group Pte Ltdhealthwaymedical.com; Singapore; On-site; SGD 17,000 - 30,000; Full time

Job summary

Healthway Medical Group Pte Ltd is offering a data science internship in Singapore. You will collect and clean data, perform exploratory analyses, and prepare datasets for dashboards and ML experiments. You will write basic SQL, automate tasks with Python, and help build simple models under guidance.

You will learn how to document data definitions, communicate findings clearly, and apply your knowledge to real business datasets in a collaborative team environment.

Qualifications

• Currently pursuing a degree or diploma in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
• Basic knowledge of Python and SQL, with willingness to apply them in a business setting.
• Familiarity with data cleaning, exploratory analysis, and basic statistics.
• Comfortable working with spreadsheets or structured datasets.
• Good attention to detail when checking data accuracy and assumptions.
• Able to explain findings clearly and ask questions when requirements or data are unclear.
• Curious, self-motivated, and keen to learn from feedback.

Responsibilities

• Collect, clean, and organize data from different sources.
• Perform exploratory data analysis to identify trends, patterns, and data quality issues.
• Write basic SQL queries to extract and transform data for analysis.
• Prepare datasets for dashboards, reports, and machine learning experiments.
• Help build and evaluate simple statistical or machine learning models under guidance.
• Create clear charts, summaries, and documentation to communicate findings.
• Automate repetitive data preparation or reporting tasks using Python where appropriate.
• Document assumptions, data definitions, and analysis steps for review and reuse.

Skills

Python

SQL

Data cleaning

EDA

Spreadsheets

Git

MongoDB

PostgreSQL

Power BI

Tableau

Statistics

ML basics

Communication

Attention to detail

Education

Pursuing degree or diploma in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or related field

Tools

Python libraries (pandas, NumPy, scikit-learn)

MongoDB

PostgreSQL

Power BI

Tableau

Git

Job description

Responsibilites

• Collect, clean, and organize data from different sources.

• Perform exploratory data analysis to identify trends, patterns, and data quality issues.

• Write basic SQL queries to extract and transform data for analysis.

• Prepare datasets for dashboards, reports, and machine learning experiments.

• Help build and evaluate simple statistical or machine learning models under guidance.

• Create clear charts, summaries, and documentation to communicate findings.

• Automate repetitive data preparation or reporting tasks using Python where appropriate.

• Document assumptions, data definitions, and analysis steps for review and reuse.

Requirement

• Currently pursuing a degree or diploma in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.

• Basic knowledge of Python and SQL, with willingness to apply them in a business setting.

• Familiarity with data cleaning, exploratory analysis, and basic statistics.

• Comfortable working with spreadsheets or structured datasets.

• Good attention to detail when checking data accuracy and assumptions.

• Able to explain findings clearly and ask questions when requirements or data are unclear.

• Curious, self-motivated, and keen to learn from feedback.

Preferred Skills

• Exposure to Python libraries such as pandas, NumPy, scikit-learn, matplotlib, or similar tools.

• Basic understanding for MongoDB and PostgreSql.

• Basic understanding of machine learning concepts such as regression, classification, clustering, or model evaluation.

• Familiarity with data visualization tools such as Power BI, Tableau, or Python visualization libraries. Mostly will use Python to generate the dashboard.

• Basic knowledge of Git or version control.

• Interest in applying data science to business, customer, network, operations, or digital use cases.

What You’ll Gain

• Hands-on exposure to real-world data science and analytics projects.

• Practical experience using Python and SQL in a professional environment.

• Experience working with data quality checks, exploratory analysis, and business datasets.

• Exposure to how data insights are translated into business recommendations.

• Guidance from experienced team members and opportunities to build applied data work.