Intern, Data & AI
6.0/10
QCP Capital
Not specified
Remote
intern
about 1 month ago
May be outdated
aitechPythonRSQLAWSMetabaseStreamlitTableauGit
AI Summary
The vacancy is well-structured but lacks compensation details, affecting overall quality.
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Description
What you'll do
- •Collaborate with business teams to identify repetitive or manual workflows and prototype automation solutions using AI tools such as ChatGPT/Claude (via App UI or API) and/or other automation platforms (e.g. 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 QCP's data warehouse on AWS Redshift, including data ingestion, transformation, and data pipeline management
- •Support AI adoption across QCP by developing learning materials (guides, tip sheets, tutorials) and sharing bite-sized AI insights and use cases on internal Slack channels
Conditions
- •As a growing firm with a tightly-knit team, we respect and listen to all our employees.
- •You will get the chance to make an impact by having your voice heard by everyone, including the management.
- •Our employees enjoy a high level of autonomy at work.
- •We focus on substance, not form - as long as you can perform, you will be recognized and rewarded.
- •We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long-term.
- •We also provide flexible working arrangement as required and a casual and fun environment to boot!
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
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