Junior Data Science, AI & Scientific Computing Student (m/w/d)

We are the Expert Analytics GmbH – an international team of over 45 experts with locations in Munich and Oslo. We support medium-sized companies and large corporations in mastering complex challenges through data-driven solutions. Our spectrum ranges from artificial intelligence, simulation, and data engineering to developing our own technologies. A highlight is our AI-based audio analytics platform "resonyx" for predictive maintenance in real-time.

Tasks

Your tasks:

You will be a full member of our project team and take on tasks according to your strengths in the following areas:

• Generative AI & LLMs: Development of RAG pipelines, integration of GenAI APIs and open-source models (e.g. via Hugging Face) into customer solutions, as well as evaluation of new AI agent workflows.
• Data Science & Machine Learning: Development and training of ML models, computer vision (e.g. medical image analysis) and predictive analytics.
• Audi Analytics (Resonyx): Processing acoustic data for anomaly detection and optimization of our audio-based AI workflows.
• Scientific Computing: Mathematical modeling and simulation of technical systems (e.g. in the field of renewable energies).
• Data Engineering: Participation in building modern, cloud-based or edge data pipelines.

Requirements

Your profile:

• You are a registered master's student (MSc) in computer science, data science, physics, mathematics, or a comparable MINT study program.
• You have your active residence in Munich.
• You have first-hand experience, ideally through previous internships or personal projects.
• You have very good knowledge of Python and common data science libraries.
• Knowledge of C++, cloud technologies, Gen-AI frameworks (such as LangChain) or Docker is a strong plus.
• Analytical thinking, hands-on mentality, and passion for complex problem-solving.
• You have very good German skills; English skills are an advantage

Benefits

We offer you:

• Flexibility pure: 15 to 20 hours per week, which adapt to your lecture schedule – not the other way around.
• Modern office: Office in the heart of Munich. Mobile work possible after consultation.
• Echtes Mentoring: You will be working directly with promoted colleagues and senior data scientists at eye level.
• Echter Impact: You won't build shelf projects, but you'll be working on real use cases – from MedTech to Industry 4.0.
• Kultur: A valuing environment, steep learning curves, and regular team events.

Sounds like your next step? Forget the classic application! Just send us your CV (and, if available, the link to your GitHub/Kaggle profile or portfolio)

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