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

Company: Crossing Infotech

Job Type: Full-time Internship

Work Mode: Virtual / Remote

Location: India

Internship Duration: 1–3 months

Stipend: 16,500/month

Application Deadline: 20 September 2026

About the opportunity

Crossing Infotech is offering a Data Science Internship for freshers and entry-level candidates interested in Python, data analysis, statistics, machine learning, data visualization, and predictive analytics.

The internship provides practical exposure to the data science lifecycle, including data preparation, exploratory analysis, statistical interpretation, feature preparation, model experimentation, and communicating analytical findings.

Key responsibilities

• Collect, organize, and prepare datasets for analysis.

• Clean datasets and identify missing, duplicate, or inconsistent information.

• Use Python libraries such as Pandas and NumPy for data processing.

• Perform exploratory data analysis to identify trends and patterns.

• Apply basic statistical techniques to understand datasets.

• Create charts and visualizations to communicate analytical findings.

• Use SQL to retrieve and analyze data from relational databases.

• Assist with developing basic machine learning models under guidance.

• Prepare training and testing datasets for model experimentation.

• Evaluate model results using appropriate performance metrics.

• Document analysis processes, assumptions, experiments, and findings.

• Present analytical results in clear reports or visual formats.

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 academic, personal, or portfolio projects involving data analysis or machine learning.

• Candidates interested in Data Science, Analytics, Machine Learning, or AI careers.

Required skills

• Basic to intermediate knowledge of Python.

• Familiarity with Pandas and data manipulation concepts.

• Basic understanding of statistics.

• Understanding of SQL fundamentals.

• Knowledge of data cleaning and preparation.

• Basic understanding of data visualization.

• Strong analytical and problem-solving ability.

• Good attention to detail.

Preferred skills

• Familiarity with NumPy.

• Experience with Matplotlib or similar visualization libraries.

• Basic knowledge of Scikit-learn.

• Understanding of regression and classification concepts.

• Familiarity with Jupyter Notebook.

• Basic knowledge of feature engineering.

• Understanding of model evaluation metrics.

• Experience with academic or personal data-science projects.

What you will learn

• End-to-end data science workflows.

• Practical data cleaning and preparation.

• Exploratory data analysis using Python.

• Statistical analysis and interpretation.

• SQL-based data analysis.

• Data visualization and storytelling.

• Introduction to machine learning workflows.

• Model training and evaluation.

• Feature preparation and experiment tracking.

• Presenting data-driven findings effectively.

Ideal candidate profile

We are looking for candidates who are:

• Curious about discovering insights from data.

• Comfortable working with Python and numerical information.

• Interested in statistics and machine learning.

• Analytical and methodical when solving problems.

• Willing to experiment and learn from results.

• Detail-oriented when preparing datasets and documenting findings.

• Comfortable working independently and collaborating with a remote team.

Why join Crossing Infotech

• Full-time remote internship opportunity.

• Practical exposure to Python, Pandas, SQL, and statistics.

• Opportunity to work on structured data-science projects.

• Exposure to machine learning and predictive analytics fundamentals.

• Opportunity to build portfolio-relevant analytical projects.

• Beginner-friendly opportunity for freshers.

• Experience relevant to Data Scientist, Data Analyst, Machine Learning, and Analytics career paths.

Application deadline: 25 September 2026

If you are a fresher interested in data science and want practical experience with Python, Pandas, SQL, statistics, visualization, and machine learning workflows, this internship provides a structured environment to develop industry-relevant analytical skills.

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