At a Glance
- Tasks: Build ML and AI solutions for scientific discovery using large-scale datasets.
- Company: Join Elsevier, a leader in scientific publishing and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and user value.
- Why this job: Make a real impact in science with cutting-edge technology and collaborative teams.
- Qualifications: Experience in data science, Python programming, and teamwork skills.
The predicted salary is between 60000 - 80000 £ per year.
Elsevier is seeking a Data Scientist in London/Oxford hybrid to build ML, NLP, and generative AI solutions for scientific discovery and knowledge extraction.
You will work with large-scale text, datasets, and graphs, applying embeddings, retrieval, and QA techniques to deliver measurable user value.
You will deploy and maintain production systems, write clean Python, and collaborate with engineering, product, UX, and research teams to turn ambiguous problems into concrete data-driven outcomes.
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Generative AI Scientist for Scientific Discovery (Hybrid) in London employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
