Data Science Intern
Jobs4PanIndia
IndiaFresher1h agovia LinkedIn
Posted 15 Nov 2026, 19:09 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisStatisticsMachine learningPython
- Nice to have
- scikit-learnPandasNumPySQL
- Work
- Remote · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis91%Python59%Statistics55%Machine learning1%of 107 similar fresher jobs posted in India this week
- Listed
- 15 Nov 2026 · still open
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About the Opportunity
This is a 100% remote, 3-month Data Science Internship Program with Jobs4PanIndia, designed for individuals interested in gaining practical experience in:
- Data analysis
- Statistical modeling
- Machine learning
- Predictive analytics
- Data-driven problem-solving
No prior professional experience is required.
Key Responsibilities
- Collect, clean, process, and analyze structured and unstructured datasets.
- Perform Exploratory Data Analysis (EDA) to identify patterns, trends, and relationships.
- Work with Python and data science libraries such as Pandas, NumPy, and Scikit-learn.
- Assist in building, training, testing, and evaluating machine learning models.
- Apply statistical methods and predictive analytics to practical problems.
- Create charts, visualizations, and reports to communicate insights.
- Assist with feature engineering, data preparation, and model performance evaluation.
- Collaborate remotely on assigned data science projects and analytical tasks.
Requirements & Tech Stack
- Basic understanding of Python, data analysis, or related concepts.
- Familiarity with mathematics, statistics, or logical problem-solving.
- Interest in machine learning, predictive analytics, and data interpretation.
- Strong analytical thinking and attention to detail.
- Willingness to learn new technologies and work on practical projects.
- Ability to work independently and complete assigned tasks remotely.
Knowledge of SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Power BI, Tableau, TensorFlow, or other data science tools is an advantage, not mandatory.
Qualifications
- College students from any academic background.
- Freshers and recent graduates interested in Data Science.
- Working professionals looking to expand their analytical and technical skills.
- Career switchers exploring opportunities in Data Science and Machine Learning.
- Self-taught learners and individuals interested in data-driven technologies.
- Candidates with foundational programming or data analysis knowledge.
Applicants from all educational backgrounds are welcome. A Data Science-specific degree or previous industry experience is not mandatory.
Stipend
- Performance-based stipend of up to ₹10,000, subject to applicable eligibility and evaluation criteria.