Data Science Intern | Freshers Welcome | Python, Data Analysis & Machine Learning | Remote
crossing infotech- Posted 15 hours ago
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Job Description
Data Science Intern | Freshers Welcome | Python, Data Analysis & Machine Learning | Remote
Company: Crossing Infotech
Job Type: Internship
Work Mode: Remote
Location: India
Duration: 1–3 months
Stipend: 16,500/month
About the Internship
Crossing Infotech is looking for a Data Science Intern who is curious about data, analytical problem-solving, and predictive technologies. You'll get hands-on exposure to preparing datasets, exploring patterns, building analytical solutions, and presenting findings in a clear and useful way.
What You'll Explore
* Work with structured datasets and prepare them for analysis.
* Use Python to perform data cleaning and exploratory analysis.
* Identify trends, patterns, and relationships within datasets.
* Apply statistical concepts to support data-driven observations.
* Create visualizations to communicate analytical findings.
* Assist with feature preparation and basic predictive modeling.
* Compare model results using appropriate evaluation metrics.
* Document analysis methods, assumptions, and outcomes.
* Investigate data-quality issues and unusual observations.
* Work with team members to understand business questions and translate them into analytical tasks.
Who Should Apply
* Students or recent graduates from Data Science, Computer Science, Statistics, Mathematics, Engineering, or related disciplines.
* Candidates who enjoy working with numbers, datasets, and problem-solving.
* Freshers with academic, personal, or portfolio data projects are encouraged to apply.
Skills That Matter
* Python fundamentals
* Basic statistics
* Data cleaning and preprocessing
* Pandas and NumPy
* Data visualization
* SQL fundamentals
* Understanding of machine learning concepts
* Analytical and logical thinking
Useful Additional Skills
* Matplotlib or Seaborn
* Scikit-learn
* Jupyter Notebook
* Power BI or Tableau
* Git/GitHub
* Familiarity with regression and classification
* Basic understanding of model evaluation
What You Can Gain
* Practical exposure to a data science workflow.
* Experience working with real-world-style datasets.
* Better understanding of exploratory data analysis and machine learning.
* Portfolio-ready project experience.
* Practice communicating technical findings in a business-friendly manner.
Who Will Enjoy This Internship
This role is a good fit for someone who likes asking What does the data tell us and wants to develop the technical and analytical skills needed for a career in data science.
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More Info
Key Skills
Scikit-learn
Jupyter Notebook
Data cleaning and preprocessing
Machine learning concepts
Model evaluation
