Data Science Intern (Work From Home, Part-Time)
Emoolar Technology Private Limited
Remote · Part Time internship
Bewerben Sie sich als Erste/r!
- Stipendium
- Stipend: INR 2,000 – INR 3,000 / month
- Dauer
- 3 months
- Start
- Sofort
- Stellenangebote
- 6
Only candidates who can work from home, start between 24 Jun 2026 and 29 Jul 2026, commit to 3 months, and bring relevant skills and interest may apply.
- Work mode
- Arbeiten von zu Hause
- Resume
- Required to apply
Über das Praktikum
About the internship
This part-time remote internship offers hands-on exposure to data science work at Emoolar Technology Private Limited. You will support projects that use machine learning and data science methods to study large datasets, create predictive models, and turn analysis into practical business insights.
What you will do
- Prepare raw data by cleaning and transforming it so it is accurate and ready for analysis.
- Develop and implement machine learning models to address business challenges.
- Work with teams across functions to spot opportunities for data-led improvements.
- Use statistical techniques to identify trends, relationships, and patterns in datasets.
- Share conclusions and recommendations with stakeholders in a clear, concise way.
- Keep up with current developments in data science and machine learning.
- Build your capability through practical work and any training support offered by the company.
Eligibility
This opportunity is open only to candidates who can work from home, are able to begin between 24 Jun 2026 and 29 Jul 2026, can commit to a 3-month duration, and have relevant skills and interest in the field.
Compensation and perks
The stipend is INR 2,000 to 3,000 per month. Additional benefits include a certificate, a letter of recommendation, flexible working hours, and a 5-day work week.
Company overview
Emoolar Technology Private Limited provides end-to-end IT services designed to support businesses as their needs evolve in a digital-first environment. The company focuses on innovation and high-quality delivery to help organizations stay competitive and grow.
Additional details
Application deadline: 24 Jul 2026, 23:59:59. Vacancies: 6.