Data Science Intern
Vortenza Systems
IndiaFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- StatisticsData analysisPython
- Nice to have
- Machine learningPandasNumPy
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis83%Python57%Statistics52%Machine learning4%of 103 similar fresher jobs posted in India this week
- Listed
- 12 Nov 2026 · still open
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About the Role
- Assist in analyzing datasets, developing data-driven solutions, and applying statistical and machine learning techniques to practical problems.
- Provide practical exposure to data preprocessing, exploratory analysis, model development, evaluation, and visualization.
Key Responsibilities
- Collect, clean, and preprocess datasets for analysis.
- Perform exploratory data analysis to identify patterns and trends.
- Assist in developing and testing machine learning models.
- Apply basic statistical and analytical techniques to datasets.
- Create visualizations to communicate data-driven findings.
- Evaluate model performance and document results.
- Assist in preparing reports and project presentations.
- Research relevant data science techniques and tools.
- Collaborate with team members on practical data science projects.
Requirements & Tech Stack
- Basic knowledge of Python.
- Understanding of statistics and data analysis concepts.
- Familiarity with Pandas, NumPy, or similar libraries is preferred.
- Basic understanding of machine learning concepts is preferred.
- Good analytical and problem-solving skills.
- Good communication and teamwork skills.
Qualifications
- Currently pursuing or recently graduated in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong interest in data science, analytics, and machine learning.
- Willingness to learn and work on practical projects.
Additional Details
- Duration: 3 Months
- Employment Type: Full-Time Internship
- Stipend: Performance-Based, up to ₹40,000/-
- For college students only.
- Includes guided learning resources, real-world projects, project evaluations, internship certification, and performance-based learning opportunities.