What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
The Data Science Engineer Intern will work closely with senior data scientists and engineers to assist in the collection, analysis, and interpretation of large datasets. This role offers an exciting opportunity to gain hands-on experience in applying data science techniques to solve real-world problems, leveraging machine learning, statistical analysis, and data engineering skills. The intern will help design and implement data pipelines, build predictive models, and analyze data trends to provide actionable insights for business or technical decision-making.
Essential Duties and Responsibilities:
- Collect, clean, and preprocess large datasets from various sources (e.g., databases, APIs, spreadsheets) to ensure high data quality and readiness for analysis.
- Perform data wrangling tasks to handle missing values, outliers, and inconsistencies in raw data.
- Conduct exploratory data analysis to identify patterns, trends, and relationships within datasets.
- Help develop and train machine learning models, including regression, classification, clustering, and recommendation systems.
- Implement and test algorithms using tools such as Scikit-learn, TensorFlow, or PyTorch, depending on project requirements.
- Support the development and automation of data pipelines for efficient data ingestion, processing, and transformation.
Qualifications:
- Programming Languages: Proficiency in at least one programming language such as Python or R. Familiarity with SQL for data querying is essential.
- Data Analysis Libraries: Experience with Python libraries like Pandas, NumPy, SciPy, and Matplotlib/Seaborn for data manipulation and visualization.
- Machine Learning: Familiarity with machine learning libraries like Scikit-learn, TensorFlow, Keras, or PyTorch for model building and evaluation.
Education / Experience
- Recent Graduates
- Currently Attending a College or University
Special Knowledge / Skills:
- Proficient Computer knowledge and skills, Microsoft Office (Word, Excel, PowerPoint)
- Professional Communication skills (written and verbal)
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.
Worker Type:
Student / Co-Op
Group:
Magna Corporate
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries.
We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
Gallery







Magna International Teams
Magna International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.