About the role
AI summarisedA Data Science Intern supports data analysis and modeling tasks under supervision, contributing to projects that involve data collection, cleaning, exploration, and basic predictive modeling. The role is typically based in an office environment and suited for students or recent graduates pursuing a degree in a quantitative field. Responsibilities include assisting with data pipelines, visualizing results, and documenting findings for internal stakeholders.
IndustrialFull-timeEngineering Services
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing data from various sources
- Support exploratory data analysis to identify trends and patterns
- Help build and test basic machine learning models under guidance
- Contribute to data visualization efforts using standard tools
- Document methodologies, results, and limitations of analyses
- Collaborate with team members on ongoing data science projects
Requirements
- Currently pursuing a degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
- Proficiency in Python or R for data manipulation and analysis
- Familiarity with SQL for querying databases
- Experience with data visualization libraries such as Matplotlib, Seaborn, or ggplot
- Understanding of basic statistical concepts and machine learning fundamentals
- Strong problem-solving skills and attention to detail
- Ability to communicate technical findings clearly to non-technical audiences
- Coursework or project experience in data analysis, modeling, or programming