Data & AI Scientist

We Match People
Amsterdam, Netherlands
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Amsterdam, Netherlands

Tech stack

Artificial Intelligence
Machine Learning
Natural Language Processing
Software Tools
Large Language Models
Deep Learning

Job description

You will act as the bridge between commercial operations and technical teams, translating business needs into scalable Data and AI solutions. Key responsibilities include: - Designing, prioritising and delivering AI use cases aligned to commercial objectives - Working closely with stakeholders across commercial operations to shape requirements and manage expectations - Translating business problems into clear briefs for engineering and data teams - Driving AI literacy, adoption and best practice across non technical audiences - Supporting workflow automation and productivity improvements using AI driven tools - Balancing hands on delivery with longer term AI strategy and roadmap development

Requirements

To succeed in this role, you will bring: - Hands on experience delivering Data and AI solutions in a business facing environment - Strong communication skills, with the ability to engage senior stakeholders and non technical teams - Experience working with NLP, LLMs, machine learning or deep learning approaches - Practical...

About the company

Amsterdam, Hybrid 2 to 3 days onsite, 1 year fixed term contract This is a high impact Data and AI role for someone who enjoys working at the intersection of business and technology. You will play a visible role in shaping how AI is adopted across commercial functions, owning practical use cases that deliver real business value rather than theoretical experimentation. The Company They are a digitally focused organisation investing heavily in data, AI and automation to enable smarter commercial decision making. With strong senior sponsorship for AI adoption, the business is focused on turning emerging technologies into tangible outcomes. Collaboration between business and engineering teams is central to how they operate, creating a supportive environment for delivery focused specialists.

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