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2 big data jobs found in Lausanne

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Algorized
17/02/2026
Full time
Data Scientist
Algorized Etoy, VD, Switzerland
Data Scientist Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence. As we continue to scale rapidly, we are looking for a Data Scientist to design, build, and maintain scalable machine learning algorithms to create and deploy the models that process data from sensors, radar, and cameras. This role will be critical in ensuring high performance, real-time accuracy, and seamless ML model performance on the edge. LOCATION On-Site/Switzerland EMPLOYMENT TYPE Full Time Responsibilities Design, improve and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needs Manage the ML data pipeline, including data collection, extraction, validation,...
BRP
21/02/2026
Full time
Business Intelligence Intern, International
BRP Lausanne, VD, Switzerland
We are looking for a motivated and creative Business Intelligence Intern to support our analytics team in designing clear, engaging dashboards and visual data stories. It will be 6 months internship ideally starting in April 2026. Working with the international business intelligence team, you will transform complex datasets into clear, intuitive, and interactive dashboards. Your work will directly influence strategic decision-making across the organization by enabling teams to interpret data quickly and accurately. This internship is ideal for students who want practical experience working across the full BI stack, including: Data ingestion & integration Data cleaning and preparation Light data modeling Dashboard and visualization development YOU’LL HAVE THE OPPORTUNITY TO: Data Ingestion & Preparation Assist in importing and integrating data from external sources. Perform data cleaning and transformation tasks. Help maintain and improve existing data pipelines...

 

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