Data Science - Intern

**Data Science - Intern** **About the Program** The Data Science Internship Program is a comprehensive and full-time program designed to equip aspiring data scientists with practical, end-to-end experience in solving real-world operational challenges. Over the course of three months, interns will develop foundational and advanced data science skills, collaborate in a team-oriented environment, and deliver a meaningful capstone project. This program balances structured learning, self-paced coursework, collaborative projects, and direct mentorship to ensure each intern not only builds strong technical proficiency but also cultivates the mindset and culture essential for high-performing teams. Upon successfully completing the coursework and requirements of the program, exceptional interns may be offered a full-time position within our organization. **About you** We are looking for recent graduates or career changers with a solid foundation in programming and core data concepts, as well as a strong eagerness to learn. This program is for you if you possess the following: * Educational Background: A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Physics, Engineering, or any related field. * Coding Experience: Hands-on experience applying code to real data. These can be via academic projects, hackathons, personal projects, or other internships. * Technical Skills: * Proficient in Python and pandas for scripting, data cleaning, and filtering * Familiar with building basic machine learning models (e.g. linear regression, decision tree, or k-means) using scikit-learn * Able to create effective visualizations using tools such as Matplotlib, Seaborn, or Plotly * Familiar with version control via Git * Portfolio Projects: You have a portfolio of your projects uploaded to Github (or equivalent) with Jupyter Notebooks, data visualizations, or mini-projects demonstrating your data science skills. * Growth Mindset: You are eager to learn, you ask questions, you try new tools, and you collaborate openly. * Communication: You have clear verbal and written skills and you are able to explain technical work to different audiences. If you meet these criteria and you are ready to transform your foundational skills into production-ready data science expertise, we'd love to see your application