Working Student Data Science

Beschreibung

Job Zusammenfassung In diesem Job unterstützt du Data Scientists bei der Umsetzung von PoCs und komplexen Kundenprojekten im Bereich Data Science sowie Machine Learning, mit Fokus auf moderne Technologien wie LLMs und Agenten. Job Zusammenfassung In diesem Job unterstützt du Data Scientists bei der Umsetzung von PoCs und komplexen Kundenprojekten im Bereich Data Science sowie Machine Learning, mit Fokus auf moderne Technologien wie LLMs und Agenten. Deine Rolle im Team You will support our Data Scientists in implementing small PoCs as well as complex customer projects. You will contribute to exciting tasks in the fields of Data Science and Machine Learning. You will be involved in innovative customer projects and work with the latest technologies (e.g. LLMs & agents). You will research, evaluate, and integrate state-of-the-art ML models and techniques. You will train and optimize your own task-specific models. You will support projects throughout the entire development lifecycle: from requirements analysis and design to development, documentation, and deployment. Unsere Erwartungen an dich Qualifikationen You are studying Data Science, Web Science, Computer Science, Business Informatics, or a comparable field, and have excellent grades. You are motivated and available to support our team for at least 14 hours per week. You can demonstrate solid foundational knowledge of methods and tools in the field of Data Science. You are passionate about working with large datasets and databases. You are characterized by a creative approach to the increasingly complex business and IT landscape. Good German and English language skills complete your profile. Erfahrung You already have experience with Python, specifically with Pandas/Polars, Scikit-Learn, and Matplotlib. You already have initial experience using LLMs, especially in the context of Retrieval-Augmented Generation (RAG), agents, and similar approaches. Unser Angebot Forward-looking work with modern cloud (SAP), web, and mobile technologies. Depending on your individual interests, you can choose your own projects and focus on one of the following areas: Generative AI & Agents or 'traditional' Machine Learning (Predictive Analytics, time series forecasting, etc.). At sovanta, you will be an integral part of your team from day one and gain valuable professional experience alongside your studies. Thanks to our structured onboarding process, you will quickly find your way around and also get to know other departments. At the welcome lunch, you will have the opportunity to meet many other sovantees directly. A mentor will be at your side from day one and will support you with all technical and organizational questions. Together with you, we will flexibly adapt your working hours to fit your university schedule. We value close collaboration and place great importance on our regular knowledge-sharing sessions, unit meetings, and feedback discussions. Summer parties, X-Mas parties, or Lunch Roulette - you can look forward to nice company events. Join our Health Days to gather valuable tips for a healthier everyday life or take one of the sovanta bikes for a ride. Become part of the sovanta family - our great team can't wait to welcome you soon! Benefits Work-Life-Integration 🏠 Home Office Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Junior Job Feld: Data Anstellung: Teilzeit Vertragsart: Praktikum / Schulpraktikum Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Hamburg, Köln, Heidelberg | Heidelberg | Deutschland | Köln | Hamburg

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