Overview
About the internship:
As a Data Analyst intern at Stackwise, you will have the opportunity to work with cutting-edge technology and gain valuable experience in the world of data analysis. We are looking for someone who is proficient in Python, Artificial Intelligence, and Data Science to join our dynamic team.
Selected intern's day-to-day responsibilities include:
1. Assist in collecting, cleaning, and organizing data for analysis.
2. Analyze large datasets to identify trends and patterns.
3. Develop predictive models using machine learning algorithms.
4. Collaborate with team members to interpret data and present findings.
5. Participate in brainstorming sessions to generate data-driven insights.
6. Stay up-to-date on the latest trends and technologies in data analysis.
7. Contribute to ongoing projects and provide support as needed.
If you are a motivated and detail-oriented individual with a passion for data analysis, this internship opportunity at Stackwise is perfect for you. Join us and take the first step towards launching your career in the exciting field of data analytics.
Who can apply:
- are available for the work from home job/internship
- can start the work from home job/internship between 26th Apr'26 and 31st May'26
- are available for duration of 3 months
- have relevant skills and interests
Only those candidates can apply who:
Stipend:
INR₹ 25,000 /month
Deadline:
2026-05-27 23:59:59
Other perks:
Certificate, Letter of recommendation, Flexible work hours, 5 days a week
Skills required:
Python, Data Science and Artificial intelligence
About Company:
Stackwise is a comprehensive inventory management platform designed to help businesses scale efficiently by centralizing all operations into a single, powerful system. It enables organizations to seamlessly track stock levels, manage supplier relationships, and automate reordering processes, ensuring optimal inventory flow at all times. By bringing teams together within one unified command center, Stackwise enhances coordination, reduces manual effort, and supports smarter, data-driven decision-making for sustained business growth.