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Data Analytics & AI Services
Data & AI Engineer, Intern
Remote Internship 0 years
Apply for this Position Position Overview
This internship is for someone who wants to see how data actually becomes a decision, from a raw table to a model to a number somebody acts on. You will work on small, well-defined tasks with a mentor reviewing every step, and rotate close enough to analytics, data engineering and machine learning to find out which of them you like.
Key Responsibilities
- Work through a structured onboarding into the stack: SQL, Python, and how a pipeline runs end to end.
- Complete small, well-defined tasks with a mentor reviewing each step before it is merged.
- Write SQL queries to explore datasets and check your results against a second source.
- Add tests and documentation to existing pipelines as a way of learning how they behave.
- Shadow analysts, data engineers, and ML engineers to see how each approaches the same dataset.
- Build a small end-of-internship project with a defined scope and regular mentor check-ins.
- Ask questions early instead of guessing, and keep notes on what you learn.
- Present what you built at the end, including what you would do differently.
Skills & Qualifications
- Currently studying or recently graduated in a quantitative or computing field.
- Python basics: functions, loops, and reading data with pandas.
- SQL basics: SELECT, JOIN, and GROUP BY.
- Genuine curiosity about how data turns into a decision.
- Willingness to have your work reviewed, questioned, and sometimes rewritten.
- Clear written communication — you can describe what you did and why.
- Availability for the full internship period.
Nice to Have
- A course project, notebook, or repository you can walk us through.
- Some exposure to git.
- Introductory statistics coursework.
- An early interest in one area — analytics, pipelines, or machine learning.
Apply for this Position
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Apply for this Position