Junior Data Scientist - AI & Machine Learning

Our client, a pioneering technology firm at the intersection of AI and data science, is thrilled to offer an exceptional opportunity for a motivated Junior Data Scientist to join their innovative, fully remote graduate program. This is an ideal role for recent graduates or individuals with a strong academic background in a quantitative field who are passionate about leveraging data to solve complex problems and build cutting-edge machine learning models. You will work under the guidance of experienced data scientists, contributing to the entire data science lifecycle, from data collection and cleaning to model development, deployment, and evaluation. Your responsibilities will include assisting in the exploration of large datasets, feature engineering, building and training predictive models, and validating their performance. You'll gain hands-on experience with various machine learning algorithms, statistical techniques, and programming languages such as Python or R. We encourage collaboration and learning, so you'll be actively involved in team discussions, code reviews, and knowledge-sharing sessions. The program is designed to provide comprehensive training and mentorship, allowing you to rapidly develop your skills in a supportive, remote-first environment. You'll have the opportunity to work on real-world projects that have a tangible impact on our client's products and services. We are seeking intellectually curious individuals with a strong foundation in mathematics, statistics, and computer science. Excellent problem-solving abilities, attention to detail, and a proactive learning attitude are essential. A bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field is required. Previous exposure to machine learning concepts or projects through academic coursework or personal projects is highly advantageous. This fully remote internship offers a fantastic springboard into a career in data science and AI. Key Responsibilities: Assist in data cleaning, preprocessing, and feature engineering for machine learning models. Support the development, training, and evaluation of various machine learning algorithms. Conduct exploratory data analysis to identify patterns and insights. Collaborate with senior data scientists on model implementation and validation. Write clean, efficient, and well-documented code in Python or R. Participate in team meetings, code reviews, and knowledge-sharing sessions. Assist in the preparation of technical reports and presentations. Learn and apply new data science techniques and tools. Contribute to the development of data-driven solutions for business challenges. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. Strong understanding of statistical concepts and machine learning algorithms. Proficiency in Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn). Familiarity with data visualization techniques. Excellent analytical and problem-solving skills. Strong attention to detail and ability to work independently. Good communication and collaboration skills. Eagerness to learn and adapt to new technologies. Prior experience with ML projects (academic or personal) is a plus.