Data Science Intern

Prada Group is seeking a driven and passionate Data Science Intern to join our Data Analytics team within the IT department. This is an exciting opportunity to gain hands-on experience with real-world datasets and advanced technologies in a dynamic, international luxury fashion environment. As a Data Science Intern, you will play a key role in enhancing our personalization capabilities and optimizing marketing campaigns that impact how we connect with our customers globally. Responsibilities: Design, implement, and refine machine learning models to optimize both one-to-one and one-to-many marketing communication strategies. Collaborate closely with cross-functional teams to understand business objectives and translate them into technical solutions. Manage and analyze large datasets using cloud platforms such as Databricks. Develop test, and deploy scalable machine learning algorithms using Python and PySpark. Contribute to ongoing improvement of data processes, methodologies, and best practices within the team. Knowledge and Skills: Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in Python and familiarity with PySpark. Exposure to cloud-based analytics environments - experience with Databricks or similar platform is a plus. Experience using data visualization tools such as Power BI is advantageous. Analytical and problem-solving skills, with a detail-oriented approach. Ability to collaborate effectively in a team environment. Willingness to learn, adapt, and grow within a fast-paced, innovative setting. Organized, with strong time management skills and the ability to handle multiple tasks simultaneously.

Founded in 1913 in Italy, the Prada Group was built on a tradition of excellence and with a vision of innovation. Our Iconic Brands include PRADA, Miu Miu, Church's, Car Shoe and Pasticceria Marchesi and we are currently operating in more than 45 Countries, embracing employees of more than 100 nationalities.