3 jobs found in Baar

The Data, Analytics, AI & Platforms (DAP) Manager is the local technical anchor for data, analytics and AI within the Execution Excellence function at Novartis Pharma Switzerland. The role ensures Swiss commercial, Value & Access (V&A) and Medical Affairs teams get full value from the global Novartis analytics and AI ecosystem. At its core, this is a Data & Analytics role with AI/GenAI and agentic AI as a strategic layer on top, supported by platform localization and operational readiness. The role works across the core No-vartis analytics stack; Python, Azure, Snowflake, and PowerBI, to deliver applied analytics, AI use cases and high-quality data products for the Swiss organization. On the Data & Analytics side, the DAP Manager is hands-on and technically deep. Day to day, this means designing and maintaining local data models on Snowflake, building enterprise-grade PowerBI dashboards on top of them, leveraging Azure data and AI services for pipelines,...

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? The Industry Solutions Engineering (ISE) team is a global engineering organization that works side-by-side with customers, on a per-project basis, to collaboratively innovate custom solutions to solve their challenging business problems; from inception to production. We develop broadly applicable, high-impact solution patterns and open-source software assets in collaboration with Microsoft product teams, partners, and open-source communities. We are hiring a Data Scientist to   build and deploy AI systems at scale as part of a cross-functional team —working on projects spanning computer vision, NLP,...

Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), with around 600 employees, is part of the ETH Domain. It focuses on the sustainable use and protection of the environment and on the responsible management of natural hazards. The Forest Resources and Forest Management research unit records and analyzes changes in the landscape and forest. In the   Forest-LENS project,   we are investigating drought symptoms in beech stands. This is based on an existing Sentinel-2 and machine learning-based processing pipeline for recording such symptoms, which is being expanded spatially and methodologically. A particular focus is on the influence of forest structure on the drought resilience of beech trees. To this end, we combine satellite-based drought indicators with forest structure information derived from LiDAR data, as well as other environmental and site data. The position is...