Insta Dot Analytics is hiring for the role of Data Science Trainee (Intern) in Indore. This is a 3-month full-time in-office internship offering hands-on experience in data science, analytics, machine learning, and AI tools.
Selected interns will work on real datasets, create visualizations, build dashboards, explore machine learning models, and contribute to data-driven decision-making processes. This internship is ideal for students or freshers who want to build strong fundamentals in Python, Data Analytics, AI, and Business Intelligence tools.
Data Science Trainee – Internship Overview
Insta Dot Analytics is hiring for the role of Data Science Trainee (Intern) in Indore. This is a 3-month full-time in-office internship offering hands-on experience in data science, analytics, machine learning, and AI tools.
Selected interns will work on real datasets, create visualizations, build dashboards, explore machine learning models, and contribute to data-driven decision-making processes. This internship is ideal for students or freshers who want to build strong fundamentals in Python, Data Analytics, AI, and Business Intelligence tools.
Stipend Details
- Monthly Stipend: ₹8,000 – ₹15,000
- Stipend varies based on skills, knowledge, and performance during selection
- Certificate of completion
- Letter of recommendation
This stipend range is competitive for entry-level data science internships and provides valuable hands-on exposure alongside financial support.
Key Responsibilities
As a Data Science Trainee, you will:
- Assist in data collection, cleaning, and preprocessing.
- Develop data visualizations using Matplotlib and Seaborn.
- Create and maintain databases using MySQL and NoSQL.
- Analyze datasets to generate actionable business insights.
- Build reports and dashboards using Advanced Excel and Power BI.
- Explore and implement Machine Learning algorithms for predictive analytics.
- Stay updated with trends in Artificial Intelligence and Generative AI tools.
This internship offers exposure to both technical implementation and analytical thinking, preparing candidates for real-world data science roles.
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Skills Required
- Python
- Python Libraries (NumPy, Pandas)
- Matplotlib & Seaborn
- Machine Learning
- Artificial Intelligence
- Generative AI Tools
- Data Analytics
- Database Management Systems (DBMS)
- MySQL & NoSQL
- MS Excel & Advanced Excel
- Power BI
- Tableau
- Prompt Engineering
Candidates with academic projects or certifications in data science will have an added advantage.
Who Can Apply (Eligibility Criteria)
| Criteria | Details |
|---|---|
| Internship Mode | Full-Time (In-Office) |
| Duration | 3 Months |
| Start Date | Between 7th Feb 2026 and 14th Mar 2026 |
| Location | Indore (or willing to relocate) |
| Skills Required | Python, ML, AI, Excel, Power BI, Databases |
| Interest Area | Data Science, Analytics, AI, Machine Learning |
Women looking to start or restart their careers are encouraged to apply if eligible.
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Why Join This Internship?
- Gain practical exposure to Data Science tools and frameworks
- Work on real-world datasets and business problems
- Build expertise in Python, Machine Learning, AI, and BI tools
- Strengthen your resume with industry-recognized experience
- Receive mentorship and career guidance
- Improve analytical thinking and problem-solving skills
This internship can act as a stepping stone toward roles such as Data Analyst, Data Scientist, Machine Learning Engineer, or Business Intelligence Analyst.
Career Scope After Internship
After successful completion, candidates can pursue opportunities in:
- Data Analytics
- Machine Learning Engineering
- AI Development
- Business Intelligence
- Database Administration
- Research & Data Modeling
Hands-on exposure during this internship can significantly improve employability in the growing data science domain.
How to Apply
Interested and eligible candidates should complete the application process before the deadline.
👉 Apply by clicking the button below.
Make sure your resume highlights your Python projects, ML models, dashboards, or academic work related to data science.
Disclaimer
All details mentioned are based on official or publicly available information. No fees are charged for this opportunity. Selection depends on the company’s recruitment process. Candidates are advised to verify information from official sources before applying.
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