£50 Per hour
Undetermined
Undetermined
England, United Kingdom
Summary: The Scientific Data Analyst role involves translating scientific and business inquiries into effective information strategies, designing analytics workflows for literature discovery, and applying AI capabilities to enhance information retrieval and summarization. The position also includes providing training on AI/NLP tools and ensuring compliance with copyright and data governance standards. Candidates should possess a scientific degree or equivalent experience, along with familiarity in NLP applications and data visualization tools.
Key Responsibilities:
- Translate scientific and business questions into effective information strategies.
- Design analytics workflows for literature discovery using AI-enabled tools.
- Apply AI capabilities to enhance information retrieval, summarization, and categorization.
- Ensure data is structured for scientific use.
- Provide training on AI/NLP tools for content analytics.
- Ensure adherence to copyright, licensing, and data governance standards.
Key Skills:
- Scientific degree or equivalent work experience.
- Experience or interest in NLP and LLM applications.
- Familiarity with data visualization and scientific communication tools.
- Knowledge graph and ontology management.
- Proficiency in Python and AI frameworks for text analytics.
Salary (Rate): £50.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Scientific Data Analyst role: Responsible for translating scientific and business questions into effective information strategies. Design analytics workflows for literature discovery, leveraging AI enabled tools. Apply AI enabled capabilities to enhance information retrieval, summarisation, and categorisation. Ensure data is structured for scientific use. Provide training on AI/NLP tools for content analytics. Ensure adherence to copyright, licensing, and data governance standards .
Your Background : Scientific degree, or equivalent work experience. Experience or interest in NLP and LLM applications. Familiarity with data visualization and scientific communication tools. Knowledge graph and ontology management. Python and AI frameworks for text analytics.