Data Analysis Intern

2 weeks ago

England, United Kingdom Glite Tech Full time

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners.

Join our startup this winter break as a Data Analysis Intern. Over 2–3 weeks, you’ll dive into a rich dataset of vocabulary tests with 10M+ items to explore key questions about language learning and share your findings in a compelling article. This is a paid internship with flexible work options.

What you’ll do:

  • Analyse a dataset of vocabulary tests and participant demographics (e.g., age, native language, education).
  • Identify trends, such as:
  • Words most challenging for English learners.
  • Patterns specific to speakers of certain languages.
  • Write a compelling article that explains your findings through clear storytelling and data-driven insights.
  • Collaborate with the team to refine your analysis and visualisations.
  • Conduct literature reviews to understand prior work in the field.

Skills needed:

  • Strong writing skills to communicate ideas clearly and creatively.
  • Understanding of data analysis and statistics principles (e.g. hypothesis testing).
  • Interest in language learning, linguistics, or related fields.
  • Familiarity with any tools (Python, R, Excel, etc.) to analyse and visualise data.

What we can offer:

  • Paid internship with flexible work (remote or London office near Farringdon).
  • Mentorship from experienced engineers and startup founders.
  • Opportunity to have your work published and showcased.

How to Apply:

Send your CV or a brief overview of your experience to jobs@glite.ai by December 8th.

We’re especially interested in:

  • Examples of your writing (publications, especially creative, non-academic texts in a narrative, storytelling style). Please include them in your application email.
  • A short summary of your data analysis experience.

If you’re excited to ask bold questions, uncover insights, and tell great stories, we’d love to hear from you

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