Principal Data Scientist: AI, NLP & GenAI Leader

RX Brasil

Amsterdam

On-site

EUR 87,000 - 145,000

Full time

2 days ago
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Job summary

Elsevier, a global leader in information and analytics, seeks a Principal Data Scientist (AI/NLP & Generative AI) to provide technical direction and governance across multiple data science teams in life sciences products.

You will shape architectures for LLM-powered workflows, RAG and retrieval, mentor teams, and ensure high-quality, compliant delivery while collaborating with senior stakeholders.

Qualifications

  • Senior or principal level experience in data science, AI, NLP, or related field.
  • Hands-on background building AI/ML, NLP, and retrieval-based systems; able to dive into detail when needed.
  • Proficiency with LLMs, fine-tuning, prompts, grounding, and responsible AI.
  • Experience defining technical standards, evaluation frameworks, or governance across teams.
  • Knowledge of AI governance, model risk and regulatory requirements.
  • Strong Python skills and ML fundamentals.
  • Experience with large text datasets and modern ML frameworks.
  • Familiarity with cloud platforms and software engineering practices.

Responsibilities

  • Set technical direction and architectural standards for AI/ML across teams.
  • Define shared evaluation and monitoring frameworks for quality and trust.
  • Lead AI governance activities and ensure regulatory adherence.
  • Mentor and coach multiple data science teams and align with business priorities.
  • Represent DS in senior meetings and communicate strategy to non-technical stakeholders.

Skills

Python programming
Mentoring & leadership
Stakeholder management
Communication

Tools

LLMs
RAG systems
NLP
Cloud platforms

Job description

Elsevier, a global leader in information and analytics, seeks a Principal Data Scientist (AI/NLP & Generative AI) to provide technical direction and governance across multiple data science teams in life sciences products.

You will shape architectures for LLM-powered workflows, RAG and retrieval, mentor teams, and ensure high-quality, compliant delivery while collaborating with senior stakeholders.

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