Data Science Internship

The post describes a hands-on entry into data science, built around keeping datasets accurate and usable. The duties it names are:

• Help with data annotation so datasets stay accurate and relevant.
• Clean data thoroughly to protect its integrity.
• Work with team members to analyse and interpret data and draw out useful insights.
• Back up the data scientists as they build and put machine learning models into use.
• Help improve how data is collected, for better efficiency and accuracy.
• Keep up with trends and good practice in data science.
• Offer new ideas to raise data quality and strengthen analysis.

The post sets out these conditions:

• You can take up a remote internship.
• You can start between 18 Oct 2026 and 22 Nov 2026.
• You are available for the full 3 months.
• You have relevant skills and interests. The skills it lists are data cleaning and data annotation.

It does not state a degree, year of study or prior experience requirement. There are 2 openings.

• It helps to show you have handled messy data before, even in a college project: say what was wrong with it and how you fixed it.
• If you have labelled or annotated any dataset, describe the rules you followed and how you checked for consistency.
• Brush up on basic machine learning ideas, since the work includes supporting model building.
• Keep a short example of data you analysed and the insight you drew from it, so you can explain your thinking clearly.
• Since the internship is remote and runs 3 months, be ready to say how you plan your time and keep in touch with a team.