Data Science Internship

The work sits across machine learning, deep learning, language processing and AI, and the intern assists on projects rather than leading them.

• Models and algorithms: help build and put machine learning algorithms to use on business problems, and run research and experiments to tune data models and algorithms.
• Deep learning and language data: work on projects with neural networks and convolutional neural networks, and use natural language processing to pull patterns and insights out of unstructured data.
• Team and product side: work with cross-functional teams on better data collection and analysis, support AI-driven solutions for customer experience, and keep up with new developments in data science and AI.

The posting sets a few conditions you can check quickly:

• You must be available for remote, work-from-home work.
• You must be able to start between 18 Oct 2026 and 22 Nov 2026.
• You must be free for the full 6 months.
• You need relevant skills and interest in the field. The skills listed are Machine Learning, Data Science, Natural Language Processing (NLP), Deep Learning and Artificial intelligence.

Women who want to start or restart their careers are also welcome to apply. Perks listed are a certificate, a letter of recommendation, flexible work hours and a 5-day week.

• It helps to have one small project that uses neural networks or a convolutional network, since the duties name both. Be ready to explain what you tried and what you changed.
• Try a short text-based exercise, such as finding patterns in unstructured text, to show hands-on NLP work.
• Keep a record of experiments: what you changed in a model, what you measured and what you learned. The role includes research and optimising models.
• Many similar roles ask for SQL, Python and Excel. Showing some of these alongside the listed skills can widen your appeal.
• Check that your 6-month availability and start date fit the window before you apply.