Paid Summer Data Science & ML Internship - Hybrid Lisbon

DataHow AG; Lisboa; Híbrido; EUR 13 392 - 16 740; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive internship compensation

Meal allowance

Flexible hybrid work model

Regular team events

Resumo da oferta

DataHow AG, located in Lisbon, is seeking a motivated Bachelor's or Master's student for a paid summer internship. The role involves working closely with the process modeling team on real-world challenges and spans 6 to 12 weeks with potential extensions.

Responsibilities include addressing industry problems, improving codebases, and contributing to machine learning training content. Ideal candidates will have solid programming skills in Python and a keen interest in data-driven applications.

The internship offers competitive compensation and a flexible hybrid work model in a dynamic team environment.

Qualificações

• Currently enrolled in a relevant Bachelor's or Master's programme.
• Solid programming skills, preferably in Python.
• Interest in machine learning and data-driven applications.

Responsabilidades

• Work on real industry problems and support team tasks.
• Improve existing code and use cases.
• Build a clean code repository for client data applications.
• Contribute to the development of training use cases.
• Review and improve machine learning course content.
• Conduct data validation analyses.

Conhecimentos

Python programming

Documentation practices

Machine learning interest

Formação académica

Bachelor's or Master's in Data Science, Computer Science, or related field

Descrição da oferta de emprego

DataHow AG, located in Lisbon, is seeking a motivated Bachelor's or Master's student for a paid summer internship. The role involves working closely with the process modeling team on real-world challenges and spans 6 to 12 weeks with potential extensions.

Responsibilities include addressing industry problems, improving codebases, and contributing to machine learning training content. Ideal candidates will have solid programming skills in Python and a keen interest in data-driven applications.

The internship offers competitive compensation and a flexible hybrid work model in a dynamic team environment.