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4 data analytics jobs found in Munich

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Full time  (4)
Usercentrics GmbH
01/10/2026
Full time
AI Enablement Engineer
Usercentrics GmbH München, Germany
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 SE
30/09/2026
Full time
Intern Deployment Engineer - Data & AI
CELONIS SE München, Germany
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:...
REPLY
28/09/2026
Full time
FINOPS DATA ANALYST & CONSULTANT (M/F/D)
REPLY München, Germany
MUNICH, HYBRID, BERLIN Tasks You analyze commitment usage, reservation coverage, and cost trends across cloud, AI/ML, SaaS, and on-premises . Derivation of optimization recommendations (rightsizing, discount strategies, anomaly detection) You create spend forecasts and variance analyses that enable informed decisions. Validation of cloud-native forecasting tools and collaboration on ML-based forecasting models You design dashboards and reports for technical and executive audiences. Definition of FinOps KPIs and integration into live reporting systems You automate reporting, alerting and data pipelines (Power Automate, Python, SQL) Development of tagging strategies, taxonomy design, and showback and chargeback models. You develop FinOps blueprints and playbooks for scalable, reusable solutions. Contribution to training courses, lectures and publications within and outside of Reply You are expanding into new areas:...
REPLY
26/09/2026
Full time
(JUNIOR) AI APPLICATION ENGINEER || AI PRODUCTS LLM & RAG (M/F/D)
REPLY München, Germany
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...
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