Data Science Intern | Entry Level | Fresher | Python, Pandas, SQL, Statistics | Remote

Company: Medinex Workforce

Job Type: Full-time Internship

Work Mode: Virtual / Remote

Location: India

Internship Duration: Flexible

Stipend: ₹14,500 – ₹15,900/month

Application Deadline: 20 September 2026

About the opportunity

Medinex Workforce is offering a Data Science Internship for freshers and entry-level candidates who want to develop practical experience in data preparation, exploratory analysis, statistics, visualization, and introductory machine learning.

This internship is designed for candidates who enjoy working with data and want to apply Python and analytical techniques to practical projects. You will gain exposure to the process of transforming raw data into useful findings and supporting data-driven decision-making.

Key responsibilities

• Collect, organize, and prepare datasets for analysis.

• Clean and validate data using Python and relevant tools.

• Perform exploratory data analysis to identify patterns and trends.

• Use Pandas and other Python libraries to work with structured datasets.

• Apply basic statistical techniques to understand data.

• Create charts and visualizations to communicate findings.

• Write SQL queries to retrieve and prepare data for analysis.

• Document analytical methods, assumptions, and observations.

• Assist with developing and evaluating basic predictive models.

• Compare analytical results and identify potential data-quality issues.

• Prepare summaries of findings for project documentation.

• Collaborate with team members on assigned data projects.

Who can apply

• Freshers and recent graduates.

• Students or graduates from Data Science, Computer Science, Statistics, Mathematics, Information Technology, Engineering, Economics, or related fields.

• Candidates with basic knowledge of Python and statistics.

• Candidates who have completed academic, personal, or portfolio data projects.

• Applicants interested in Data Science, Data Analytics, Machine Learning, or Business Intelligence.

Required skills

• Basic to intermediate knowledge of Python.

• Familiarity with Pandas and data manipulation.

• Basic understanding of statistics and probability.

• Knowledge of SQL fundamentals.

• Understanding of data cleaning and preparation.

• Ability to interpret charts and analytical results.

• Logical thinking and problem-solving skills.

• Willingness to learn and experiment with data.

Preferred skills

• Familiarity with NumPy and Matplotlib.

• Basic knowledge of Scikit-learn.

• Experience with Jupyter Notebook.

• Understanding of regression or classification concepts.

• Familiarity with Power BI or other visualization tools.

• Basic knowledge of data preprocessing techniques.

• Experience working with public or academic datasets.

What you will learn

• Practical data preparation and cleaning.

• Exploratory data analysis using Python.

• Working with Pandas and analytical datasets.

• Applying basic statistical methods.

• Data visualization and interpretation.

• SQL for data extraction and analysis.

• Introduction to machine learning workflows.

• Model evaluation fundamentals.

• Communicating analytical findings effectively.

• Structuring practical data science projects.

Ideal candidate profile

We are looking for candidates who are:

• Curious about patterns, trends, and insights hidden in data.

• Comfortable working with numbers and analytical information.

• Interested in learning Python-based data science tools.

• Willing to experiment and investigate different approaches.

• Detail-oriented when preparing and reviewing datasets.

• Able to work independently on assigned projects.

• Interested in building a career in data science or related analytical fields.

Why join Medinex Workforce

• Virtual / Remote internship opportunity.

• Flexible internship duration.

• Practical exposure to Python, SQL, statistics, and data analysis.

• Project-based learning suitable for freshers.

• Opportunity to develop a data science portfolio.

• Exposure to analytical and introductory machine learning workflows.

• Experience relevant to Data Scientist, Data Analyst, Junior Data Scientist, Machine Learning, and Business Intelligence career paths.

Application deadline: 20 September 2026

If you are a fresher interested in using Python and analytical techniques to solve data-related problems, this internship provides an opportunity to develop practical data science skills through project-based work.

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