7 data analytics jobs found in Munich

MUNICH Tasks You will support our clients in   AI transformation projects   throughout the entire   end-to-end lifecycle   – from identifying potentials and use cases to the successful implementation of productive AI solutions. In this role, you act as   an interface   between the business and IT departments, analyzing and specifying requirements and translating them into   sustainable business and technical concepts   . You develop   exploration, technical and target concept concepts   , evaluate   AI use cases   and coordinate solution approaches with relevant stakeholders. You are responsible for the   professional and technical pre-qualification   of requirements, accompany the   integration of AI services   , support   testing and quality assurance   , and manage the successful   rollout   . You support clients in   AI adoption   ,   process automation   , and building data-driven ways of working to create sustainable added...

Overview Junior Full-time Permanent position About this job CHECK24 is   the   comparison portal: market leader and dynamic start-up in one. In agile teams, we make quick decisions and operate with flat hierarchies. With   state-of-the-art tools, technologies, and cutting-edge AI methods,   we drive data-driven innovation – always with the goal of creating real added value for our customers. Across more than 50 products, we work daily to further improve the user experience for our more than 20 million customers. Our   Search Team   within the CHECK24 AI Forge develops scalable AI solutions for search and ranking across various CHECK24 products. Search is a central entry and navigation point for our customers and covers demanding domains – from e-commerce product search and web-like navigation to travel search for hotels, destinations, and other products. Search and ranking are among the most demanding disciplines in applied machine learning. A...

Shape the Future of Privacy Usercentrics is a global leader in data privacy and privacy-led marketing solutions. We believe there is no need for a trade-off between growth and privacy compliance. Our vision is to unlock the potential of data privacy to empower a thriving digital ecosystem. We work with companies to create a healthy balance between data-driven business and privacy-led marketing for every size of enterprise. Our customers build trust with their users through improved transparency and control to drastically improve marketing and monetization, while achieving full privacy compliance. About the Office of AI The Office of AI owns the strategy, governance, infrastructure, and enablement of AI across Usercentrics. We sit within the CTO office and work across all departments. Mission: enable the entire organization to adopt AI safely, responsibly, and effectively. About the role You are the hands-on technical arm of AI adoption at Usercentrics. Finance,...

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated:...

MUNICH, BERLIN, HYBRID Tasks As a (Junior) AI Application Engineer (m/f/d), you will design and develop AI-powered applications and product features for enterprise clients. Your responsibilities will include: Conceptualization and development of AI applications such as enterprise assistants, co-pilots, semantic search platforms and automation systems Support in the development of LLM-based solutions (including RAG) and end-to-end AI products, integrating APIs, enterprise data, and backend services. Building scalable AI microservices, APIs, and vector search, embedding, and retrieval systems Rapid prototyping of AI features and their further development into production systems Close collaboration with product managers, designers, AI engineers and customers to develop effective solutions Deployment of AI systems in cloud and production environments using modern DevOps practices Ensuring reliability, scalability, and...

MUNICH Tasks Have you already gained initial practical experience in cloud, DevOps, or software engineering and are you looking to further develop your skills in modern cloud and platform environments? Are you driven by automation, well-designed technical solutions, and a desire to continuously learn new things? Are you also enthusiastic about using AI tools to increase engineering productivity and operational quality? At   Riverland Reply,   you can expand your skills in real enterprise projects. The following tasks await you: Joint   implementation and further development   of cloud and platform solutions   (AWS, Azure)   in collaboration with experienced cloud and platform engineers – always according to   DevOps and DevSecOps principles. Building and operating   automated infrastructures   using   Infrastructure-as-Code   and modern   CI/CD pipelines,   including the use of AI-supported tools for code quality, testing and automation in...

MUNICH Tasks Have you just completed your studies and want to further develop your knowledge in practice? With us, you will deepen your knowledge of DevOps, software development and cloud in a dynamic, technology-driven consulting environment and work directly on exciting customer projects in the insurance sector. Analysis and structuring of technical requirements on the customer and project side Contributing to container, cloud, and deployment architectures Further development and optimization of deployment processes and technical operating models Developing solutions that meaningfully combine software development and infrastructure Configuration and development of customer projects using YAML and C#/.NET Conception, deployment and configuration of our AI services Collaboration with developers, administrators and customers in the implementation of technical solutions Benefits FLEXIBLE WORKING HOURS CHOOSE YOUR...