Principal Data Scientist I

. Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams .

Posted 9/25/2026full-timeAmsterdam • NetherlandsLead💰 €86,900 - €144,600 per yearWebsite

Tools & technologies

CloudPython

Key responsibilities & impact

Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams
Guide integration of scientific metadata, ontologies, taxonomies, and knowledge assets into AI workflows
Review code, architecture, and technical decisions to ensure production readiness
Unify technical approaches into shared patterns, libraries, or frameworks
Define and maintain shared standards, evaluation, and monitoring frameworks
Lead or contribute to AI governance and compliance activities, including responsible AI, model risk assessment, and regulatory adherence
Conduct or oversee technical reviews and quality audits, identifying gaps and driving remediation
Mentor and coach across multiple data science teams
Harmonise tooling and delivery practices across distributed teams
Represent data science in senior management and governance meetings
Advise senior leadership by translating business priorities into technical direction
Collaborate across teams and functions to turn complex challenges into practical solutions
Provide occasional hands-on involvement in high-priority or high-risk work

What you’ll need

Significant experience in data science, AI, machine learning, NLP, information retrieval, or a related field, including operating at a senior or principal level
Strong hands-on background building AI/ML, NLP, generative AI, and retrieval-based systems
Expertise with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices
Experience defining technical standards, evaluation frameworks, or governance processes across teams
Working knowledge of AI governance, model risk, and compliance requirements
Strong Python skills and solid machine learning fundamentals
Experience with large-scale text or content-rich datasets and modern AI/ML frameworks
Experience with RAG, semantic, vector, or hybrid search, and experimentation approaches that measure user impact
Familiarity with cloud platforms and modern software engineering practices
Excellent communication and stakeholder management skills
Strong mentoring and leadership skills, with experience influencing and coordinating across multiple teams

Comp & perks