Data Scientist Summer Internship (8 Weeks)

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wisdom-ark is seeking a Data Scientist Intern for an 8-week summer internship designed for college students interested in applying machine learning (ML), data modeling / pipeline, and statistical analysis to real-world business problems. This program provides hands-on experience with Python, Pandas, NumPy, and ML algorithms, allowing interns to develop predictive models and data-driven insights while working on practical projects. 

• Perform data cleaning, preprocessing, and feature engineering using Python (Pandas, NumPy, Scikit-learn).
• Apply machine learning models to solve business problems, such as classification, regression, and clustering.
• Develop predictive models and evaluate their performance using statistical metrics.
• Learn data visualization techniques to present insights using Matplotlib, Seaborn, and Tableau.
• Implement A/B testing and hypothesis testing to support data-driven decision-making.
• Collaborate with data engineers and analysts to optimize data pipelines and workflows.
• Document findings and present results to technical and non-technical stakeholders.

• Current college student pursuing a degree in Engineering, Computer Science, Data Science, Business Analytics, or a related field.
• Interested in Python, Pandas, NumPy, and some machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch).
• Experience with data manipulation, feature engineering, and model evaluation.
• Understanding of statistical concepts, probability, and hypothesis testing.
• Familiarity with SQL for data extraction and manipulation is a plus.
• Strong problem-solving skills and ability to translate business questions into data-driven solutions.
• Effective communicator who can visualize and present insights in an intuitive way.

• 8-week internship program designed for hands-on learning and skill-building.
• Gain experience working on real business data projects with mentorship from experienced professionals.
• Get exposure to Python coding and modeling for data analysis.
• Learn Tableau and data visualization techniques that are highly valuable in the industry.
• Build connections with data professionals and industry experts.
• Opportunity to develop a portfolio of data projects to showcase your skills.