Working student (m/f/d) Data Analytics and AI

To strengthen our team in our Munich office, we are looking for you for 15-20 hours per week as

Working student (m/f/d) Data Analytics and AI

These are your tasks with us:

• Contributing to the design and implementation of AI models, especially generative AI (GenAI), to optimize our business processes
• Research on current developments and best practices in the field of data science and AI
• Analyzing large datasets to identify patterns and trends
• Preparation and meaningful visualization of analysis results for internal stakeholders and decision-makers to enable informed decision-making.

Your profile:

• You are a registered student (m/f/d) in the field of computer science, mathematics, statistics, data science or a comparable course of study with a relevant focus.
• You have good knowledge of at least one relevant programming language (e.g. Python, R) and are familiar with the corresponding data science libraries (e.g. Pandas, NumPy, Scikit-learn) or machine learning frameworks (e.g. TensorFlow, PyTorch).
• You have strong analytical and conceptual skills.
• Personally, you are characterized by strong communication skills, commitment and initiative, and you enjoy supporting the project team in this way.
• You have fluent German and good English skills.

Here's what we offer you:

• Exciting insights into the practical application of data analytics and AI in an established insurance company with a modern technology stack.
• Attractive remuneration and subsidies for public transport.
• Flexibility: Flexible working hours that can be optimally combined with your studies - there is also the possibility of working from home.
• Perspective: Entry into a long-established insurance company with long-term development opportunities
• Network: A large network of student trainees within the company, which promotes professional and personal exchange.
• Location advantage: Central location in Munich, just a few minutes from the main train station
• And last but not least: flat hierarchies, short decision-making processes - and a great team!

Your contact person for this position is Mike Kaluza. If you have any questions, please feel free to contact him at +49 89 5152-3193 or at bewerbung@muenchener-verein.de. We look forward to hearing from you!