Internship Description

DATA SCIENCE INTERNSHIP WITH STIPEND
A N D Intern
- Virtual Internship
- 25-Jan-2025
- Pan India,
-
Start date
Immediately -
Duration
2 Months -
Stipend
₹0 /month -
No of Credits
8 -
Apply by
31-Jan-2025
About the program
The Data Science Internship offers an opportunity to gain handson experience in data analysis and machine learning. Interns will work with large datasets, applying statistical methods and algorithms to extract insights. Tasks include data cleaning, visualization, and creating predictive models. Interns will also collaborate with crossfunctional teams to solve realworld business problems. This role requires proficiency in Python, R, or similar programming languages, as well as a solid understanding of data structures and statistical techniques. Ideal candidates are selfmotivated, eager to learn, and have a passion for datadriven decisionmaking and problemsolving in a fastpaced environment.
Perks
Perks of the Data Science Internship include gaining hands-on experience in a fast-paced, real-world setting, with exposure to advanced data analysis and machine learning projects. Interns will have the chance to work with experienced professionals and mentors, fostering career growth. You will also have access to cutting-edge tools and technologies, as well as opportunities for networking and building connections within the industry. Additionally, interns may receive flexible working hours, the possibility of full-time employment after the internship, and valuable insights into data-driven decision-making. Some positions may also offer competitive compensation or stipends depending on the company.
Who can apply?
Only those candidates can apply who:
- are from Any
- and specialisation from Any
- are available for duration of 2 Months
- have relevant skills and interests
Terms of Engagement
The internship duration, working hours, and compensation will be outlined in the agreement. Interns are expected to adhere to company policies, maintain confidentiality, and actively participate in assigned projects and tasks.
Number of openings
5