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2 data science intern jobs found in Heidelberg

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paretos GmbH
23/10/2026
Full time
Data Scientist Applied AI (f/m/x)
paretos GmbH Palo-Alto-Platz 13, 69124 Heidelberg, Germany
Your tasks As a Data Scientist for Applied AI, you'll work directly with our clients: in workshops, in ongoing collaboration with departments from Supply Chain, Finance, and Operations, and during on-site go-lives. Based on our DecisionOS Platform, you'll develop solutions that don't just end up on your laptop, but transform decisions in our clients' everyday lives. You'll spend most of your time understanding client problems and mapping them to the machine learning, GenAI, and data capabilities that the platform provides. You manage customer cases from a technical perspective: classifying requirements, assessing feasibility, setting expectations – in direct coordination with the customer's specialist department. You conduct the technical discussion with the client: You explain results in a way that is understood by the specialist department and make it transparent why a result looks the way it does. You configure and improve forecasting and optimization solutions...
Universitätsklinikum Heidelberg
03/10/2026
Full time
Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m/f/d)
Universitätsklinikum Heidelberg Ringstraße 19 A, 69115 Heidelberg, Germany
Bookmark jobad Share jobad Join the PROMETHEUS consortium, a four-year EIC Pathfinder project developing a next-generation multimodal, explainable and multi-agent AI system for prostate cancer diagnosis and treatment selection (https://cordis.europa.eu/project/id/101306686). The consortium brings together leading European partners with multicentre patient cohorts, including Heidelberg University Hospital, DKFZ, Erasmus MC Rotterdam, Radboudumc Nijmegen, Karolinska Institutet and Umeå University.Within the group of PD Dr. Magdalena Görtz (https://www.dkfz.de/en/multiparametric-methods-for-early-detection-of-prostate-cancer), you will lead the development of an AI agent for treatment selection that combines longitudinal clinical data, imaging, outcome prediction and knowledge-based reasoning. The goal is to move beyond isolated prediction models towards an integrated agentic system that can model patient trajectories, compare treatment strategies and generate...
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