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4 data scientist jobs found in Zürich

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Kanadevia Inova AG
04/08/2026
Full time
Principal Data Scientist
Kanadevia Inova AG Hardturmstrasse 127, 8005 Zürich, ZH, Switzerland
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into Value At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond.. Find out more about Kanadevia Inova at www.kanadevia-inova.com. Job Description Lead the design, development, validation, and deployment of advanced AI, machine learning, optimization, and analytics solutions for strategic business challenges. Act as the organization's AI and Data Science subject matter expert, driving adoption of best-in-class methodologies and emerging technologies. Define and maintain...
Binance
27/07/2026
Full time
LLM Data Scientist/Algorithm Engineer (Fully Remote)
Binance Zürich, ZH, Switzerland
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. We are seeking a highly skilled professional to join our team, focusing on advancing through   innovative AI solutions. The successful candidate will   develop and refine Large Language Models (LLMs)   to extract actionable insights, improve business decision-making, and optimize prompt design for more accurate...
Kanadevia Inova AG
04/08/2026
Full time
Machine Learning Engineer
Kanadevia Inova AG Hardturmstrasse 127, 8005 Zürich, ZH, Switzerland
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into Value At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond. Job Description Industrialise and operate AI/ML solutions by transforming prototypes into scalable, production-ready applications. Design, implement, and maintain end-to-end MLOps pipelines covering training, validation, deployment, monitoring, and retraining. Collaborate closely with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI solutions....
LGT Gruppe Holding AG
23/07/2026
Full time
AI Operations Specialist – FinOps & AI Cost Management 80-100% (w/m/d)
LGT Gruppe Holding AG Zürich, ZH, Switzerland
About Us LGT is the world's largest private banking and asset management group owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we offer you many years of experience in managing substantial assets. Your responsibilities We are looking for an AI Operations Specialist to support us in managing and optimizing AI costs across projects, products, and platforms. This role combines hands-on analysis, stakeholder consulting, and governance to make the use of AI more transparent, efficient, and financially sustainable. They work closely with developers, data scientists, AI users, platform teams, and finance to understand how AI services are used, where costs arise, and how usage can be improved. They analyze unusual consumption patterns, question inefficient setups, and support teams in making more informed decisions regarding model usage, infrastructure, and budgeting. This role is...

 

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