Data Science Intern
Jobs4PanIndia
IndiaFresherJust nowvia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Machine learningStatisticsData analysisPython
- Nice to have
- scikit-learnPandasNumPySQL
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis81%Statistics59%Python51%Machine learning2%of 101 similar fresher jobs posted in India this week
- Listed
- 29 Oct 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Opportunity
Jobs4PanIndia is inviting applications for its Data Science Internship Program, designed for individuals interested in gaining practical experience in data analysis, statistical modeling, machine learning, predictive analytics, and data-driven problem-solving. This opportunity is open to applicants across India. 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.