Inviting applications for Data Science Intern at Elsevier 2025. The last date of application is nearing.

About Elsevier

Elsevier is a global information analytics business that helps institutions and professionals advance healthcare, open science and improve performance for the benefit of humanity. Elsevier provides digital solutions and tools in the areas of strategic research management, R&D performance, clinical decision support, and professional education; including ScienceDirect, Scopus, SciVal, ClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized journals, including The Lancet and Cell, 38,000 e-book titles and many iconic reference works, including Gray’s Anatomy. Elsevier is part of RELX Group. With a wide range of technology jobs, commercial and business jobs, and graduate jobs, there is a part for everyone to play.

Data Science Intern at Elsevier 2025 [Remote]: Apply by May 27
Data Science Intern at Elsevier 2025 [Remote]: Apply by May 27

Details

As a Data Science intern, you’ll work side by side with full time employees to learn how we identify market signals, analyze large datasets, build and test models, create new strategies, demonstrate technology proof-of-concepts and write code to implement them.  

The problems we work on rarely have clean, definitive answers, hence providing an opportunity to cross-collaborate. Through your experience we hope that you will better understand the diverse array of research challenges considered every day, from reasoning about how best to analyze very noisy datasets to building practical models using various state of the art technologies.  

Education and other qualifications 

  • Master or PhD in computer science, data science is required.  

Skills 

  • Strong understanding of ML/NLP pipelines, proficiency in Python. Hands-on project development experience with supervised and unsupervised learning; model building, validation, and testing using state of art ML algorithms such as random forest, SVM, Logistic Regression, Bayesian modeling would be a plus.  
  • Good to have experience or knowledge of building, fine-tuning and deploying deep learning models, neural networks, state-of-the-art transformer language models, GenAI. 
  • Experience or interest in working with “big data” and applying advanced algorithms in Healthcare, Life Sciences or any Research domains. 
  • Experience using *nix systems, open-source software, libraries and jupyter notebook hubs is required. 

Behaviors 

  • Ability to drive new developments and implement process changes and disruptive technologies in the organization.  
  • Self-motivated and a team player. 
  • Enjoys being part of an agile, global team with members in India, Europe and the US. Great collaborator. 
  • Good communication and documentation skills  
  • Adopts pragmatic approach when choosing and implementing the right technologies to solve a problem and develops success metrics. 
  • Thirsty for knowledge and keen to share learnings with the team. 

How to Apply?

  • Apply now!
  • Reviewing applications on a rolling basis hence early entries will be prioritized.

Click here to view the official notification of Data Science Intern at Elsevier 2025