Junior Data Scientist: Learn, Build & Deliver with AI

Continental; Lousado; Presencial; EUR 32.000 - 52.000; Jornada completa

Descripción de la vacante

Continental is seeking a Junior Data Scientist to join its global Data Science team on a temporary replacement basis. This entry-point role welcomes learners through university studies, theses, internships, or personal projects and offers mentorship and real-world experience.

You will contribute to data science projects, translate business questions into analytical tasks, and build initial models using Python while collaborating with domain experts and stakeholders across the company.

Formación

• University degree in data-related field or equivalent.
• Evidence from coursework, thesis, internships, or projects demonstrating data science basics.
• Proficiency in Python and data analysis libraries.
• Solid understanding of statistics, data preparation, and model evaluation.
• Ability to communicate analyses clearly and collaborate in a team.

Responsabilidades

• Contribute to Data Science projects with guidance from experienced colleagues.
• Work with domain experts to translate business questions into analytical tasks.
• Explore, clean and prepare data from different sources for analysis and modeling.
• Develop and evaluate initial statistical or machine learning models using Python.
• Create visualizations and communicate findings to technical and non-technical stakeholders.
• Document datasets, experiments, assumptions, results and reusable code.
• Use Git and follow coding, review, quality, security and compliance practices.
• Participate in team ceremonies and knowledge-sharing sessions.
• Support handover and continuity of ongoing activities.

Conocimientos

Python basics

Data analysis libraries

Educación

University degree in Data Science

Herramientas

Pandas

NumPy

scikit-learn

Descripción del empleo

Continental is seeking a Junior Data Scientist to join its global Data Science team on a temporary replacement basis. This entry-point role welcomes learners through university studies, theses, internships, or personal projects and offers mentorship and real-world experience.

You will contribute to data science projects, translate business questions into analytical tasks, and build initial models using Python while collaborating with domain experts and stakeholders across the company.