Data Scientist III

RELX

Data Scientist developing advanced AI systems for scientific discovery and knowledge extraction. Designing machine learning systems at Elsevier for research and innovation.

Posted 7/4/2026full-timeAmsterdam • 🇳🇱 NetherlandsMid-LevelSenior💰 €49,000 - €81,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building machine learning and NLP systems, with a strong focus on Python programming and model evaluation. Capable of developing scalable data pipelines and translating complex challenges into effective technical solutions.

Highest-signal resume keywords

Machine LearningNatural Language ProcessingPython ProgrammingData Pipeline DevelopmentModel Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingDeep LearningModel EvaluationData ScienceStatisticsApplied MathematicsKnowledge ExtractionInformation RetrievalEntity Extraction

Soft Skills

Analytical ThinkingProblem-SolvingClear CommunicationCollaboration

Tools & Technologies

PandasNumPySciPyScikit-learnPyTorchTensorFlowMatplotlib

Industry Keywords

Large-Scale DatasetsScientific PublicationsKnowledge GraphsMetadataSemantic SearchClassificationSummarization

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, and intelligent content understanding
Work with large-scale datasets including scientific publications, research data, knowledge graphs, and metadata
Apply a range of approaches from classical ML methods to deep learning, embeddings, and LLM-based solutions
Develop capabilities such as semantic search, information retrieval, entity extraction, classification, and summarization
Build, evaluate, and improve models that support decision-making and accelerate research outcomes
Train, fine-tune, prompt, and integrate models into production-ready systems
Build and maintain scalable data pipelines for experimentation, inference, and monitoring
Collaborate with cross-functional teams to translate complex challenges into robust technical solutions

Requirements

What you’ll need

Background in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related field
Strong Python skills with a focus on clean, maintainable, well-tested code
Solid understanding of machine learning fundamentals, including model evaluation and performance measurement
Experience working with structured, semi-structured, or unstructured data, especially large-scale text datasets
Familiarity with tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib
Ability to translate complex problems into practical, data-driven solutions
Strong analytical thinking and problem-solving skills with attention to quality
Clear communication skills and a collaborative approach to working with diverse stakeholders.

Benefits

Comp & perks

Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals
Healthy work/life balance