Elsevier
Data Science Intern
ElsevierNetherlands19 days ago
Full-timeEngineering, Information Technology
About The Role

As a Data Science Research Intern, you will conduct applied research in collaboration with Elsevier’s Data Science and AI experts. You will work on a focused thesis topic that contributes to advancing the use of data science, machine learning, and AI in real-world information management challenges. This internship offers the opportunity to publish, prototype, and demonstrate impact within a global data-driven organization.

Key Responsibilities

  • Design and execute a research project aligned with a defined thesis topic in data science or AI.
  • Explore, prototype, and evaluate models or algorithms using Elsevier data under supervision.
  • Conduct literature reviews and translate academic insights into practical applications.
  • Present progress, findings, and recommendations to technical and non-technical audiences.
  • Collaborate with data scientists, engineers, and domain experts across the organization.

Requirements

  • Currently enrolled in an MSc program in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Strong foundation in statistics, machine learning, and data analysis.
  • Experience with Python and common data science libraries (e.g., pandas, scikit-learn, PyTorch, TensorFlow).
  • Ability to work independently and manage a research project with minimal supervision.
  • Excellent analytical thinking, communication, and documentation skills.

Nice to Have

  • Familiarity with NLP, graph analytics, or knowledge representation.
  • Experience with large-scale or unstructured data.
  • Interest in applied research and bridging theory with practice.

Key Skills

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