Exciting Data Science Internship Opportunity at Prodigy Infotech!
Sowndharya Sivakumar
An Innovative Software Developer to Uplift Future gen | Student at SNS College of Engineering | AI-DS | Dance | Sports
Prodigy Infotech is excited to offer a one-month internship program designed for aspiring data scientists who are ready to gain valuable experience and work on real-world projects.
About Prodigy Infotech
Prodigy Infotech is a leading technology firm known for its innovative solutions and dynamic work environment. Our team is composed of top-tier professionals dedicated to pushing the boundaries of technology and delivering exceptional results for our clients.
Internship Details
Position: Data Science Intern
Duration: 1 month
Location: Remote / On-site options available
- Real-world Experience: Work on live data science projects and contribute to the development of innovative data-driven solutions.
- Mentorship: Learn from experienced data scientists and industry leaders who will guide you throughout your internship.
- Skill Development: Enhance your technical skills, including data analysis, machine learning, and statistical modeling.
- Networking: Connect with industry experts and expand your professional network.
Who We're Looking For
We are seeking enthusiastic candidates who:
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- Are currently pursuing or have recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
- Possess strong analytical and problem-solving skills.
- Have a keen interest in data analysis and machine learning.
- Are self-motivated, eager to learn, and able to work both independently and as part of a team.
How to Apply
To apply for the internship, please submit your resume and a cover letter explaining why you are interested in joining Prodigy Infotech to [Insert Application Email] by [Insert Deadline].
Selection Process
The selection process will involve:
1. Resume Screening: Initial shortlisting based on academic performance and relevant skills.
2. Technical Assessment: An online test to evaluate your data analysis and problem-solving abilities.
3. Interview: Shortlisted candidates will be invited for a virtual interview with our data science team.