FI
Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
About the role
- Working student supporting tech and data team in developing and optimizing AI models for industry. Collaborating on training pipelines and data management while gaining industry experience.
Responsibilities
- Support in training and testing AI models (including assembling and balancing datasets, as well as launching, monitoring, and analyzing training runs).
- Implement experiments and conduct benchmark tests.
- Develop internal tools to optimize training processes.
- Contribute to the development of our ML workflows and infrastructure.
- Closely collaborate with Data Scientists and ML Engineers on ongoing projects.
Requirements
- Enrolled student in Computer Science, Data Science, Computational Engineering, Mathematics, or a comparable technical degree program.
- Interest in hands-on AI development.
- Initial experience with Python and training PyTorch models (ideally in image recognition).
- Structured, analytical working style and attention to clean data.
- Very good English skills and strong communication ability.
- Comfortable working in a dynamic environment with personal responsibility, a hands-on mentality, and flexibility.
- Proactive and reliable — even in complex situations.
- Team player with a strong drive for responsibility and ownership.
Benefits
- 30 days of vacation
- Flexible working hour arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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