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Prada Group

Data Science Intern

Prada Group
Italy · Full-time · Internship

Job description:

JOB PURPOSE

 

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.

Key Skills

Ranked by relevance

machine learning python cloud data visualization power bi
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Posted
May 20, 2025
Type
Full-time
Level
Internship
Location
Milan

Industries

Retail Luxury Goods Jewelry

Categories

Engineering Information Technology

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