Data science állások Németországban (it programozás, fejlesztés)

• Perform business analysis on product requirements and technical workflows
• Collaborate on projects of a technical nature, supporting implementation and ensuring alignment with product goals
• Gather, document, and refine business requirements in cooperation with stakeholders

Schwarz IT takes care of the entire digital infrastructure and all software solutions of the companies of Schwarz Group. As a result, it is responsible for the selection, provision, operation and continuing development of IT infrastructure, IT platforms and business applications. In order to...

Support the Global OSH Function by maintaining and developing OSH data models, systems, and applications, including data management, GDPR compliance, BI dashboards, reporting, and AI initiatives....

• Support a Scrum team in its daily work on smart video management software using modern web technologies or computer vision applications based on artificial intelligence.
• Identify what is state of the art and what truly excites our customers.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance requirements within the retail mortgage business....

• Creating products that make a real difference in the lives of patients and doctors
• Developing Acoustic and Language models based on our own state-of-the-art recognition
• Processing our enormous amounts of data for training and speaker adaptation

• Act as the primary liaison between business stakeholders and technology teams;
• Gather, analyse, and document business and functional requirements;
• Translate business needs into user stories, functional specifications, and process models;

• Lead global principles and strategies for CSV, IT governance, and data integrity.
• Collaborate with functional QA teams to tailor strategies.
• Drive the digital quality roadmap and process automation aligned with QMS strategy.

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

• Lead the design, development, and deployment of integration solutions that align with IT strategy and business objectives.
• Ensure all integrations follow high development standards, established processes, and best‑practice architectural principles.

• Build use cases and configure security tools and technologies (e.g. SIEM, xDR) to detect security events and potential incidents
• Participate in Security Operations & alert monitoring: conducting incident assessments, determine impact and root causes, provide reports and recommendations

• Holistic support for SAP implementation, digital transformation and cloud transition projects
• Creation of business process design, architecture, scalability, security, and operations concepts for SAP solutions
• Knowledge transfer as part of training and project support from customers and partners

• Act as NIS2 Integration Expert, bridging the German KRITIS team with other EU member states' critical infrastructure teams.
• Manage Cross-Border Integration of security protocols, processes, and controls in accordance with NIS2.

• Help us set the right goals: Develop clear and measurable targets based on an initiatives' scope.
• Be a strategic partner for Senior Leadership: Driving end to end high complexity analysis on a strategic level in which the business domain is critical to drive overall company success.

• Design, development, and maintenance of full-stack applications, web services and REST APIs
• Implementation and integration of ISCC applications with external systems and web services
• Automation and optimization of workflows and data-driven processes

• Lead and mentor a team of Test and Integration Engineers.
• Define the vision, roadmap, and priorities for the test and integration infrastructure.
• Foster a culture of automation, reliability, and continuous improvement.

• Flexible Start Date: Choose the start date that works best for you and decide when your permanent employment contract begins.
• Customized Program: Design your program with 4-5 stations in agile product areas, corporate start-ups, or classic line organizations.

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments