Data Science Intern

What role you will play in team: You will assist senior data scientists in various projects, gaining hands-on experience in data cleaning, preprocessing, and model development. You'll learn from experienced professionals and contribute to real-world projects.

What you will do: You will support the development and implementation of machine learning models, assisting with data preparation, feature engineering, and model evaluation.

Key responsibility:

• Clean and preprocess datasets for model training.
• Assist in feature engineering and selection.
• Support the development and evaluation of machine learning models.
• Contribute to data visualization and reporting.
• Learn and apply various machine learning algorithms.
• Document your work and findings.

Required Qualification and Skills:

• Currently pursuing a Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).
• Basic understanding of statistical concepts and machine learning algorithms.
• Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.

Benefits Included:

• Mentorship from experienced data scientists.
• Hands-on experience with real-world projects.
• Opportunity to learn and grow in a dynamic environment.
• Certificate of completion.
• Networking opportunities.

A Day in the Life: Your day will involve learning new techniques, working on data cleaning and preparation tasks, and participating in team discussions about ongoing projects. You’ll be actively involved in the data science process.