Junior Data Scientist Intern

About the job

Our client is a cutting-edge technology firm at the forefront of artificial intelligence and machine learning research and development. We are excited to offer a fully remote Junior Data Scientist internship, providing an invaluable opportunity for aspiring data professionals to gain hands-on experience in a dynamic and innovative environment. Under the guidance of our senior data scientists, you will contribute to exciting projects focused on developing and deploying AI/ML models across various applications. Your responsibilities will include: - Data collection, cleaning, and preprocessing; - Exploring datasets to identify patterns and insights; - Assisting in the development and testing of machine learning algorithms; - Contributing to the documentation of models and findings. This internship is designed for individuals who possess a strong foundational understanding of statistical concepts, programming skills (preferably Python), and a keen interest in machine learning. You will work with large datasets and gain exposure to tools and platforms commonly used in the data science field. The ability to learn quickly, ask insightful questions, and collaborate effectively within a remote team is essential. This is an excellent opportunity to build practical skills, expand your professional network, and contribute to real-world AI/ML solutions. We are looking for enthusiastic and motivated individuals who are eager to learn and make a meaningful contribution. Your proactive approach and dedication to achieving project goals will be highly valued. The experience gained in this role will provide a solid stepping stone for a successful career in data science and artificial intelligence. We encourage applications from candidates who are passionate about leveraging data to solve complex problems and drive innovation. Qualifications: - Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. - Solid understanding of statistical concepts and probability. - Proficiency in at least one programming language, preferably Python (with libraries like Pandas, NumPy, Scikit-learn). - Familiarity with machine learning concepts and algorithms. - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. - Ability to work independently and manage time effectively in a remote setting. - Enthusiasm for learning and contributing to AI/ML projects.

Requirements

• Python
• Statistical Concepts
• Machine Learning

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• Statistics
• Mathematics
• Data Science
• or a related quantitative field

Preferred Technologies

• Python
• Statistical Concepts
• Machine Learning