Data Science Intern
WEBBOOST SOLUTION IT SERVICES · India
- Hybrid
- Internship
- ₹15,000 / year
- India
Job highlights
- Paid internship working on real data science projects.
- Analyze data and build predictive models.
- Gain experience with Python or R.
- Receive stipend, certificate, and recommendation.
- Potential for full-time role after internship.
About the role
Data Science Intern
Company: WEBBOOST SOLUTION IT SERVICES
Location: Remote
Duration: 3 Months
Application Deadline: 25th April 2026
Stipend & Benefits
- Performance-based stipend up to ₹15,000
- Internship Certificate
- Letter of Recommendation (based on performance)
- Swags and goodies
- Potential full-time role based on performance
Role Overview
Work on real-world data science projects, analyze datasets, perform exploratory data analysis, and build predictive models to deliver data-driven insights.
Eligibility
Students or graduates in Data Science, Computer Science, Statistics, or related fields with knowledge of Python or R. Familiarity with machine learning libraries and visualization tools is preferred.
Key skills/competency
- Data Science
- Machine Learning
- Python
- R
- Data Analysis
- Predictive Modeling
- Exploratory Data Analysis
- Statistics
- Computer Science
- Data Visualization
Skills & topics
- Data Science Intern
- Data Science
- Machine Learning
- Python
- R
- Data Analysis
- Predictive Modeling
- Exploratory Data Analysis
- Statistics
- Computer Science
- Data Visualization
- Internship
- Remote
- WEBBOOST SOLUTION IT SERVICES
How to get hired
- Tailor your resume: Highlight relevant coursework in Data Science, Computer Science, or Statistics. Emphasize Python/R proficiency and any machine learning project experience.
- Showcase your skills: Include a link to your GitHub or portfolio demonstrating data analysis or model building projects.
- Write a compelling cover letter: Express your enthusiasm for data science and WEBBOOST SOLUTION IT SERVICES, clearly stating your learning goals for the internship.
- Prepare for technical questions: Brush up on Python/R fundamentals, basic machine learning concepts, and data analysis techniques.
- Be ready for behavioral questions: Prepare examples of how you've worked on projects, solved problems, and collaborated.
Technical preparation
Practice Python/R coding exercises.,Build small machine learning models.,Perform exploratory data analysis.,Study data visualization techniques.
Behavioral questions
Describe a challenging data project.,How do you handle learning new tools?,Give an example of problem-solving.,How do you manage project timelines?
Frequently asked questions
- What is the duration of the Data Science Intern position at WEBBOOST SOLUTION IT SERVICES?
- The Data Science Intern position at WEBBOOST SOLUTION IT SERVICES is a 3-month paid internship.
- What are the benefits of the Data Science Intern role at WEBBOOST SOLUTION IT SERVICES?
- Interns can receive a performance-based stipend up to ₹15,000, an internship certificate, a letter of recommendation based on performance, and company swags. There's also potential for a full-time role.
- What qualifications are needed for the Data Science Intern at WEBBOOST SOLUTION IT SERVICES?
- Applicants should be students or graduates in Data Science, Computer Science, Statistics, or related fields, with knowledge of Python or R. Familiarity with machine learning libraries and visualization tools is preferred.
- Is the Data Science Intern position at WEBBOOST SOLUTION IT SERVICES remote?
- Yes, the Data Science Intern position at WEBBOOST SOLUTION IT SERVICES is a remote role.
- What kind of projects will a Data Science Intern work on at WEBBOOST SOLUTION IT SERVICES?
- Interns will work on real-world data science projects, including dataset analysis, exploratory data analysis, and building predictive models to provide data-driven insights.
- How can I apply for the Data Science Intern role at WEBBOOST SOLUTION IT SERVICES?
- Interested candidates should review the eligibility criteria and submit their application before the deadline of 25th April 2026. Ensure your resume highlights relevant skills in Python, R, and data analysis.