Data Scientist Intern

Company:

About Pixeltalent Lab

Pixeltalent Lab offers project-based internships designed to help aspiring data professionals gain real-world experience in data analysis, machine learning, and predictive modeling. Our Data Scientist Internship focuses on data wrangling, exploratory analysis, and building models using Python-based tools.

Role Overview

As a Data Scientist Intern, you’ll work on analyzing datasets, building predictive models, and generating actionable insights. You’ll gain hands-on experience with Python, pandas, scikit-learn, and visualization libraries while contributing to internal analytics or client-facing projects.

Key Responsibilities

• Clean, preprocess, and analyze structured and unstructured datasets
• Perform exploratory data analysis and visualize key trends
• Build and evaluate machine learning models using scikit-learn or similar libraries
• Communicate findings through dashboards, reports, or presentations
• Collaborate with developers and domain experts to refine data pipelines
• Document workflows and maintain reproducible code using Git

Requirements

• Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or related field
• Proficiency in Python and libraries such as pandas, NumPy, and matplotlib
• Familiarity with machine learning algorithms and model evaluation techniques
• Basic understanding of SQL and data querying
• Experience with Git and collaborative coding practices
• Strong analytical thinking and attention to detail
• Ability to work independently and meet deadlines

What You’ll Gain

• Practical experience in data science workflows and model building
• Internship Completion Certificate
• Letter of Recommendation for top performers
• Exposure to real-world datasets and business-driven analytics
• A portfolio of notebooks, models, and visualizations