Intern, Data & AI
Skills
About the Role
You'll collaborate with business teams to spot repetitive or manual workflows and prototype automation solutions using AI tools like ChatGPT or Claude and automation platforms such as n8n. You'll work closely with business teams to gather reporting requirements and help design dashboards and reports using tools like Metabase or Streamlit. You'll support the development and maintenance of the data warehouse on AWS Redshift, including data ingestion, transformation, and pipeline management. You'll also help drive AI adoption across the company by creating learning materials and sharing AI insights and use cases with colleagues.
Requirements
- Currently pursuing a degree in Data Science, Computer Science, Information Systems, Statistics, or a related quantitative field
- Familiarity with Python or R through coursework or personal/academic projects
- Exposure to SQL and working with cloud services (experience with AWS a plus)
- Some experience or interest in data visualisation or BI tools (e.g. Metabase, Streamlit, Tableau)
- Familiarity with AI tools such as ChatGPT or Claude, whether through coursework, personal projects, or day-to-day use
- Basic familiarity with Git or version control
- Strong communication skills with the ability to explain technical concepts to non-technical audiences
- Comfortable working cross-functionally and engaging directly with business stakeholders
Responsibilities
- Collaborate with business teams to identify repetitive or manual workflows and prototype automation solutions using AI tools such as ChatGPT/Claude and/or other automation platforms like n8n
- Work closely with business teams to gather reporting requirements and assist in designing dashboards and reports using tools such as Metabase or Streamlit
- Support the development and maintenance of the data warehouse on AWS Redshift, including data ingestion, transformation, and data pipeline management
- Support AI adoption by developing learning materials and sharing bite-sized AI insights and use cases on internal Slack channels
Benefits
- Flexible working arrangement
- Casual and fun work environment