Next-Link
Early Career Information Scientist - Content Analytics & Data Science
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Early Career Information Scientist - Content Analytics & Data Science
Exciting Opportunity: Early-Career Information Scientist
NextLink is seeking an enthusiastic Information Scientist to join their client team in Slough, UK (with an anticipated office move to Windlesham, Surrey). This 12-month full-time hybrid/remote position provides the chance to work on cutting-edge research, combining data science and AI.
About the Role
The Information Scientist will contribute to-text analysis using programmatic, scientific, coding, and AI-enabled techniques to uncover insights from biomedical data, external datasets, and literature.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Develop and support programmatic workflows for scientific data analysis
- Apply data science techniques to identify trends and draw meaningful insights
- Architect and maintain automated pipelines for content analytics
- Utilise AI and NLP tools for text mining and document summarisation
- Collaborate with cross-functional teams to enhance scientific processes
- Support data governance and promote responsible AI practices
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Requirements
Essential:
- Bachelor’s or Master’s degree in life sciences, data science, or a related discipline
- Proficiency in programming (Python, R, or similar)
- Strong analytical problem-solving mindset
Desirable:
- Hands-on experience with NLP, machine learning, or scientific data handling
- Familiarity with metadata, ontologies, or knowledge graphs
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location