Bhabha Atomic Research Centre (BARC)
July 15, 2026
Comprinno has officially announced its Internship Program 2026 for the position of Data Scientist Intern. This internship offers an exciting opportunity for B.Tech and M.Tech students who are passionate about Data Science, Machine Learning, Artificial Intelligence, Analytics, and Data Engineering.
Selected interns will work closely with experienced data scientists and analytics professionals to analyze large datasets, develop predictive models, perform statistical analysis, and contribute to real-world business solutions. This internship is designed to provide practical industry exposure while helping students build valuable technical and analytical skills.
Candidates interested in Data Science, Machine Learning, Big Data, and Business Analytics should not miss this opportunity to gain hands-on experience with a rapidly growing technology company.
| Particulars | Details |
|---|---|
| Company Name | Comprinno |
| Role | Data Scientist Intern |
| Qualification | Pursuing B.Tech / M.Tech |
| Experience | 0 – 1 Year |
| Job Location | Pune, Bangalore |
| Internship Type | Full-Time Internship |
| Industry | Data Science, Analytics, Cyber Security |
| Application Mode | Online |
Comprinno is a technology-driven company specializing in:
Cyber Security Solutions
Data Analytics
Cloud Computing
Artificial Intelligence
Digital Transformation
Business Intelligence
Data Engineering
The company helps organizations leverage technology, data, and analytics to improve decision-making, strengthen security, and accelerate digital growth.
Comprinno provides a highly collaborative work environment where interns and fresh graduates gain practical exposure to industry projects and emerging technologies.
The Data Scientist Intern role is designed for students who want to gain practical experience in data science and analytics.
Interns will work on:
Data Collection
Data Cleaning
Statistical Analysis
Machine Learning Models
Data Visualization
Business Intelligence Projects
This internship provides exposure to real-world datasets and modern data science tools used in enterprise environments.
Selected candidates will contribute to various data science initiatives.
Gather data from multiple internal and external sources.
Analyze structured and unstructured datasets.
Identify trends and patterns within data.
Build predictive models.
Assist in machine learning algorithm implementation.
Improve model performance through testing and validation.
Clean and preprocess datasets.
Verify data accuracy and consistency.
Remove duplicate or incomplete records.
Perform statistical evaluations.
Interpret business data.
Generate actionable insights.
Create reports and dashboards.
Document findings and model performance.
Present analytical insights to stakeholders.
Work with Data Science and Analytics teams.
Participate in project discussions.
Support business decision-making through data-driven insights.
Candidates must meet the following requirements.
Pursuing B.Tech Degree
Pursuing M.Tech Degree
Students from the following branches are preferred:
Computer Science Engineering
Information Technology
Artificial Intelligence
Data Science
Machine Learning
Electronics & Communication Engineering
Related Technical Disciplines
Freshers can apply.
Candidates with up to 1 year of experience are eligible.
Applicants should possess:
Basic Programming Knowledge
Analytical Thinking
Problem-Solving Skills
Statistical Understanding
Data Interpretation Skills
Communication Skills
Team Collaboration Abilities
Curiosity and Learning Mindset
Candidates with knowledge of the following technologies may have an advantage:
Python
R
SQL
Pandas
NumPy
Scikit-Learn
TensorFlow
PyTorch
Power BI
Tableau
Matplotlib
Seaborn
MySQL
PostgreSQL
MongoDB
AWS
Azure
Google Cloud Platform (GCP)
Basic understanding of Machine Learning concepts is highly beneficial.
Comprinno offers a valuable learning environment for aspiring data scientists.
Real-World Industry Exposure
Hands-On Data Science Projects
Mentorship from Experienced Professionals
Machine Learning Experience
Analytics and Visualization Skills Development
Exposure to Cyber Security and Cloud Technologies
Professional Networking Opportunities
Practical Business Problem Solving
Career Growth Potential
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July 15, 2026
July 15, 2026
July 15, 2026
July 15, 2026
July 15, 2026
July 15, 2026
July 15, 2026
July 15, 2026
July 15, 2026
July 15, 2026