... to develop and evaluate AI solutions using real-world enterprise datasets. Required Qualifications - 8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...
... decisions. Position: Data Analyst Work Arrangement: Remote / Hybrid Employment: Full-Time & Part-Time Key Responsibilities - Collect, organize, and analyze business data - Prepare reports, dashboards, and data summaries - Identify trends, patterns, and opportunities within datasets - Maintain data accuracy and integrity - Collaborate ...
... Engineering, Business Analytics, Supply Chain Analytics, Operations Research, Data Science or Business Engineering. - Advanced Excel skills, including Power Query and data modelling; practical experience with Power BI or a comparable visualization tool. - Python skills for data analysis and automation; SQL knowledge is a strong ...
The Data Center Engineering Operations Technician (EOT) is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical systems, generators, cooling systems etc.) within the data center environment in a specific location. The role ...
Lift & Shift Coordinator – Data Centre Site-Based | Data Centre Construction | Full-Time The Role Designer Group is seeking an experienced Lift & Shift Coordinator to support the delivery of a major data centre project. This is a site-based coordination role responsible for the safe, efficient and planned movement of major ...
... Lead | Location: Germany, remote | Working hours: Fulltime (40h/week) As Master Data Management Lead, you will bear overall strategic responsibility for master data management across the entire company. In this role, you will define the governance structure, set priorities for MDM initiatives, and ensure that data ownership, ...
... with various domain specialists and data owners to understand how business data can be used for foundation model training. - Develop new training and benchmark datasets, bringing together rich semantic context with large scale business data. - Make critical design decisions regarding the selection and implementation of underlying ...
... models and analyses in validated data you can stand behind. - Build data pipelines for collection, processing, and transformation. - Stay ahead of developments in data science, ML, and applied AI, and help lift the team through best practices and mentorship. Requirements - Real seniority in data science, ML, and analytics with ...
... (z. B. Copilots, Prompt-driven Development, MCP-basierte Workflows) Ihr Profil Sehr gute Kenntnisse in Microsoft Fabric oder vergleichbaren Plattformen (z. B. Databricks) Erfahrung mit ELT-Prozessen, Datenintegration sowie SQL und Python Kenntnisse in Spark, dbt und Medallion-Architekturen Erfahrung im Power BI Data Modeling ...
... business, STEM, or a related field. You bring 5+ years of experience in Data & AI, with broad literacy across current topics such as Responsible AI, Agentic AI, Data Mesh, and synthetic data. You have hands-on experience across the Data & AI lifecycle, from strategy, governance, and management through to implementation and ...