We are looking for a motivated and curious Data Science Intern to join our Advanced Analytics & AI team in Milan.
During the internship, you will work alongside Data Scientists, ML Engineers, and business stakeholders to develop data-driven solutions that support business decisions and improve operational processes. You will gain hands-on experience across the data science lifecycle, including data preparation, exploratory analysis, machine learning, Generative AI, model evaluation, and communication of results.
Your responsibilities will include
- Collaborate with business stakeholders to understand their challenges and translate them into data science use cases.
- Collect, clean, transform, and analyze structured and unstructured data from different sources.
- Perform exploratory data analysis to identify patterns, trends, anomalies, and opportunities for improvement.
- Develop and evaluate statistical and machine learning models for classification, regression, forecasting, recommendation, or anomaly detection.




- Support the development of Generative AI and Large Language Model solutions, such as:
- Information extraction and text classification.
- Document processing and summarization.
- Prompt design and structured LLM outputs.
- Create clear visualizations, dashboards, and presentations to communicate findings to technical and non-technical audiences.
- Contribute to the documentation, testing, and monitoring of data science solutions.
- Work with the wider Data & Analytics team to deliver prototypes and proof-of-concept solutions.
- Currently pursuing a Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.
- Good knowledge of Python for data analysis and machine learning.
- Working knowledge of SQL and relational data concepts.
- Understanding of fundamental statistics and machine learning concepts.
- Interest in Generative AI, Large Language Models, and natural langua

📌 Data Scientist Curricular Internship (Milano)
🏢 BEKO EUROPE
📍 Milano