Senior Data Scientist II

Elsevier; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Wellbeing initiatives

Study assistance

Sabbaticals

Job summary

Elsevier is looking for an expert to design and deliver AI, NLP, and generative AI solutions in Amsterdam. The role involves developing scalable systems that turn scientific data into insights, collaborating with various teams, and ensuring high-quality outcomes.

Candidates should possess strong data science and machine learning experience, with specific skills in Python and working with large datasets. We promote a healthy work-life balance and provide support for personal growth.

Qualifications

• Practical experience in data science, AI, machine learning, or NLP.
• Hands-on experience building AI/ML and generative AI systems.
• Expertise with LLMs, including fine-tuning and prompt engineering.

Responsibilities

• Design, build, and evaluate advanced AI/ML solutions.
• Develop LLM-powered workflows for scientific applications.
• Integrate scientific data into scalable AI workflows.

Skills

AI/ML expertise

NLP proficiency

Python programming

Data science experience

Strong communication

Tools

Cloud platforms

Modern AI/ML frameworks

Job description

Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale?

Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals?

About our Team

Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the Role

In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions.

Responsibilities

• Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
• Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.
• Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.
• Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
• Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
• Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
• Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.

Requirements

• Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
• Strong hands‑on experience building AI/ML, NLP, generative AI, and retrieval‑based systems in applied or product-focused environments.
• Expertise working with LLMs, including fine‑tuning, prompt engineering, grounding strategies, and responsible AI practices.
• Strong Python skills and solid machine learning fundamentals.
• Experience working with large-scale text or content‑rich datasets and modern AI/ML frameworks.
• Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
• Familiarity with cloud platforms and modern software engineering practices.
• Strong communication, collaboration, and mentoring skills.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future.