4 working student data science jobs found

Join us as a   Working Student Data Engineer   (all genders) in our Cloud & Platform Engineering   team   and help shape the future of autonomous mobility! The Data Lake Platform team provides the secure and self-service foundation for all data at MOIA. We build and operate the central data infrastructure that enables teams to ingest, store, access, and manage data in a compliant and cost-efficient way. Our platform powers everything from product and operational metrics to large-scale unstructured data streams from autonomous driving systems. By combining automation, governance, and scalable AWS technologies, we make sure MOIA’s data is always trusted, fresh, and privacy-compliant, empowering 25+ teams to build data-driven products with full ownership of their data lifecycle. What you will do Develop data ingestion, transformation, and access layers using Apache Spark, Iceberg, and AWS services such as Lambda, and S3. Develop scalable workflow...

Cologne, Germany (Hybrid) Team:   Engineering ·   Reports to:   CTO ·   Format:   Working Student (16–20h/week) or Internship (3–6 months) Keep the world awake - build the platform thousands of DevOps teams rely on ilert helps thousands of DevOps & IT teams detect, fix, and communicate incidents faster. When a critical system goes down, our platform is the "source of truth" — from the resilient backend that processes thousands of events per second to the fast, intuitive frontend engineers stare at under pressure. We are looking for a   Working Student or Intern   who loves building software and doesn't want to be boxed into a single layer of the stack. Whether you lean frontend, backend, or full-stack, you'll ship production code that powers a mission-critical SaaS product. We match projects to your strengths and our business needs — and we're happy to help you grow in whichever direction excites you most. Tasks Ship End-to-End Features:...

As a working student in Software Engineering, you support the annotation and quality assurance of training data as well as the structured management of our datasets. You also contribute to the definition and evaluation of KPIs for assessing our models and assist in conducting end-to-end tests of the entire system pipeline. In addition, you research new approaches in the field of computer vision and compare them with existing solutions. Furthermore, you help to further develop our testing infrastructure and evaluation pipelines to ensure continuous quality assurance. What is your Day to Day Mission: Data Annotation & Dataset Management   – ​​Annotate and quality-check training data for object detection and end-to-end planner models, including bounding boxes, segmentation masks, and trajectory labels; maintain and version datasets to ensure consistency and traceability across model iterations KPI Definition & Model Evaluation   – Design, implement, and...

Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform. Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik...