Data Scientist Curricular Internship
Pubblicato il 23-09-2026 - Beko in Milano
Beko Europe is a leading home appliances business, dedicated to changing the lives of our customers through a wide range of innovative and sustainable household products and solutions. It was established in 2023 as a result of an agreement between Arçelik and Whirlpool, with Arçelik owning 75 percent of the company and Whirlpool owning 25 percent. It benefits from more than 60 years of leadership, innovation and expertise in the home appliance sector.
With more than 20,000 employees, Beko Europe has 57 subsidiaries and 11 production sites across Europe, which are located in Cassinetta, Melano, Comunanza, and Siena in Italy, Wroclaw, Radomsko, and Lodz in Poland, Poprad in Slovakia, Yate in the UK, and Ulmi and Gaesti in Romania, with a production capacity of approximately 24 million white goods products per year.
This role in summary
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 tex