Data Scientist

Magno IT
Amsterdam, Netherlands
8 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Large Language Models

Requirements

Are you a (Senior) Data Sciencist or AI Engineer with experience in the area of LLMs, RAG and NLP?, You have a strong technical background in artificial intelligence and enjoy turning research into practical applications.

Benefits & conditions

General information - Duration: 12 month contract or indefinite from the start - No. of working hours: 36 hours per week - Location: 1 / 2 days per week in Amsterdam or London - Contract type: FTE, Direct contract with client - Other: You need to be a resident of NL OR the UK at time of application - Available salary: €65.000 - 85.000 Do you enjoy developing intelligent applications that transform complex information into actionable insights? Are you passionate about applying the latest advances in artificial intelligence to solve real-world challenges for researchers, healthcare professionals, and knowledge workers? If so, this could be the next step in your career. Your team You’ll become part of an international technology team responsible for developing AI-powered solutions that help professionals efficiently discover, understand, and apply scientific information. Collaboration, continuous learning, and engineering excellence are central to the way the team works. Everyone is encouraged to contribute ideas, challenge assumptions, and build high-quality software that creates measurable value.

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Apply on www.werk.nl
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:35 min

How LLMs imitate human data discovery behavior

Jordan Tigani Jordan Tigani · World Congress 2026 Europe

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

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Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

2:59 min

Querying metadata sources using large language models

Kapil Gupta Kapil Gupta · World Congress 2023

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger · LIVE

2:25 min

Understanding the evolution and nature of large language models

Krzysztof Cieślak Krzysztof Cieślak · World Congress 2024

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