Data Science Intern

Emoolar Technology Private Limited

  • Remote (India)
  • Internship
  • Posted 18 Oct 2026

Emoolar Technology Private Limited lists a six-month remote Data Science internship. The description spans machine learning, deep learning and natural language processing, with research and experiments under the team.

What the work involves

Tasks include developing models, working with neural networks, extracting patterns from text, improving data collection and contributing AI features to customer-facing work. Model and algorithm improvements are part of the stated scope.

The listing does not name a dataset, model framework or product team. Applicants should ask about the first project and demonstrate a small evaluated model, including its limitations and how training and test data were separated.

Who can apply

6 months; relevant ML/data science skills. No specific degree or batch stated.

  • Machine learning and data science.
  • NLP and deep learning foundations.
  • Experiments, model comparison and team communication.

Location, pay and application

Work from home. The source states INR 7000-8000/month.

The stated application deadline is 17 November 2026. Confirm weekly hours, mentoring, project ownership and stipend payment terms. Apply by 2026-11-17. The opening is employer-posted on Internshala; use that platform for the full description and application. Internshala may require an account/profile to apply.

Prepare your application

Use a relevant project or work example to show what you built, how you tested it and which parts you owned. Match the stated skills honestly. An unspecified experience range does not mean that freshers automatically qualify.

The source publication date is 2026-10-18. Availability was checked on 3 November 2026. Review the full source and its latest terms before applying.

Data Science Intern at Emoolar Technology Private Limited. Applications happen on the named source, not on GetFirstJob. GetFirstJob does not collect resumes or charge candidates; never pay an application or interview fee.

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