Title: Data Science Intern (Remote Internship) Company: Travellio Industry: Technology - Travel Location: Remote Work type: Paid Company Description: Travellio is a travel-focused app that brings people together to explore the world, create unforgettable memories, and build meaningful connections with others who share their passion for travel. Role Description: This is a remote internship role for a Data Science Intern at Travellio. As a Data Science Intern, you will be responsible for performing data analysis, using statistical methods, and applying data science techniques to extract insights and support decision-making. You will work closely with the data science team to develop models and algorithms, analyze data sets, and present findings. Responsibilities: Perform detailed data analysis and apply statistical methods to derive actionable insights. Assist in developing and refining algorithms that enhance our app's functionality and user experience. Collaborate with team members to analyze data sets and contribute to strategic planning. Present analytical findings and insights in a clear and compelling manner. Qualifications: Current enrollment in, or recent completion of, a degree program related to Data Science, Statistics, Mathematics, or a similar field. Demonstrated experience with data manipulation and analysis tools such as Python, R, and SQL. Understanding of machine learning algorithms and data science techniques. Strong analytical, problem-solving, and critical thinking skills. Excellent communication skills, with the ability to convey complex concepts. Ability to work effectively both independently and as part of a remote team. Perks: Flexible remote work. Competitive stipend. Opportunity to work in a dynamic, fast-paced startup environment. Gain hands-on experience in advanced data science techniques. Work on real-world problems in the travel industry, impacting thousands of users globally. Travellio is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.