About the program

iNeuBytes invites enthusiastic and talented students to join our Data Science Virtual Internship Program 2026. This program is designed to Educate, Engage, and Empower the next generation of technology leaders in India. As an intern, you will work on realworld Data Science projects, apply your academic knowledge in a practical setting, and gain valuable experience with cuttingedge technologies. The program offers a hands on virtual internship experience through realworld projects. It improves your skills through microassessment tasks and continuous feedback. You will collaborate closely with AI interns, mentors, and industry experts to create innovative data driven solutions. You will contribute to major projects that involve data collection, data processing, data analysis, and data visualization, along with integrating data science techniques with AI models. You will explore the latest advancements in Data Science, focusing on data preprocessing, feature engineering, model evaluation, predictive modelling, and statistical analysis using advanced tools. You will also develop and refine data pipelines, build predictive models, and work with AI interns to ensure smooth integration of data science methodologies with AI algorithms. In addition, you will document your work in detail to support effective collaboration and knowledge sharing. To be eligible, you should be currently pursuing a degree in Data Science, Computer Science, Artificial Intelligence, or related fields. You should have a strong understanding of data science concepts, including data analysis and statistical methods, along with experience in Python programming. Familiarity with machine learning techniques, Pandas, NumPy, Matplotlib, Seaborn, and data visualization tools is important. A passion for data driven decision making and willingness to learn and apply new skills in a dynamic environment are essential. Important meetings with mentors are scheduled by the marketing team to assist interns. Failing to attend these meetings may result in disqualification from the internship. We are looking for interns who can dedicate one hour per day for two months to fully engage in this program.

Perks

Intern will get Certificate of Internship after successful completion of internship.

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 6 Weeks
4. have relevant skills and interests

Terms of Engagement

Initial Interview, Selection & Registration 1.All interested candidates must attend the initial interview or screening process conducted by the company. 2. To be selected as an intern, candidates are required to write and qualify in the internship selection examination. 3. Only shortlisted or qualified candidates will be eligible to proceed with the internship registration process. 4. Selected interns must register on the official iNeuBytes website to confirm their internship participation. 5. All internship related activities, including task allocation, project submission, progress tracking, mentor communication, and project management, will be handled through the iNeuBytes website or platform only. Attendance & Leave 1. Interns must maintain regular attendance in online meetings, mentor sessions, and project discussions. 2. Leave policy will be as per company norms. Saturday and Sunday are weekoffs. 3. Only 1 to 2 leaves are allowed during the internship period. 4. Interns must inform the mentor or coordinator in advance before taking leave. Performance Evaluation Intern performance will be evaluated based on: Completion of assigned Data Science tasks and project modules. 1. Quality of data collection, data cleaning, data preprocessing, data analysis, and data visualization work. 2.Understanding of statistical methods, feature engineering, machine learning, predictive modelling, and model evaluation concepts. 3. Learning ability and adaptability to Python programming, datasets, Pandas, NumPy, Matplotlib, Seaborn, and other data science tools. 4. Documentation quality, technical reporting, and explanation of Data Science project work. 5. Communication skills, teamwork, and active participation in Data Science project discussions. 6. Timely submission of tasks and regular project updates through the iNeuBytes website or platform.

Number of openings

10