Junior Data Scientist

Continental; Lousado; On-site; EUR 32,000 - 52,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python basics

Data analysis libraries

Education

University degree in Data Science

Tools

Pandas

NumPy

scikit-learn

Job description

Job Description

At Continental Tires, we aim to make analytical excellence an integral part of the processes that create business value. Together with domain experts from our business units, we identify challenges that can be addressed through data, Advanced Analytics, and Artificial Intelligence.

As a Junior Data Scientist, you will join our global Data Science team through a temporary replacement. This role is designed as an entry point for someone who has built a foundation in data science through university studies, academic projects, a thesis, internships, or personal projects, and who is motivated to learn in a professional environment.

What you will do:

• Contribute to Data Science projects with guidance from experienced colleagues;
• Work with domain experts to understand business questions and translate them into clear 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 clear visualizations and communicate findings to technical and non-technical stakeholders;
• Document datasets, experiments, assumptions, resultsand reusable code;
• Use Git and follow the team’s coding, review, quality, securityand compliance practices;
• Participate in team ceremonies, knowledge-sharing sessionsand peer reviews;
• Support the handover and continuity of ongoing activities.

Additional Information

Professional experience is not mandatory. We value evidence of learning and practical curiosity. Relevant examples may include a university assignment, thesis, capstone project, Kaggle-style challenge, research activity, open-source contribution, or a small personal project.

What you can expect:

• A supportive onboarding and clear priorities;
• Mentoring and regular feedback from experienced Data Scientists;
• Hands-on exposure to real business problems, enterprise data, and collaborative AI delivery;
• Opportunities to strengthen technical, communication, and stakeholder-management skills;
• An inclusive team environment where questions, learning, and knowledge sharing are encouraged.

We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.

Qualifications

• University degreein Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Economics, or a comparable quantitative field;
• Contact with data science topics through university coursework, a thesis, academic projects, internships, student organizations, competitions, or a personal portfolio;
• Basic programming knowledge in Python and familiarity with common data analysis libraries such as pandas, NumPy, scikit-learn, or equivalent tools;
• Basic understanding of statistics, data preparation, model training, validationand performance metrics;
• Ability to present an analysis clearly, explain choices and learn from feedback;
• Curiosity, structured problem-solving, reliabilityand a collaborative mindset;
• Good English communication skills, written and spoken.

Company Description

Continental is a leading tire manufacturer and industry specialist that develops and produces sustainable, safe and convenient solutions for automotive manufacturers as well as industrial and end customers worldwide. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 76,000people in 54 countries and markets.