Future Roles · Data & Analytics
AI Research Partner
FoundationSFIA Level 4Research & Life SciencesAvailable now
Based on: Data Analyst / Research Scientist
A researcher who works alongside AI systems to accelerate hypothesis generation, literature synthesis, and analytical modelling — while maintaining rigorous human oversight of methodology, interpretation, and publication integrity.
Human core
The capabilities that remain irreplaceable — the human element that AI augments but cannot substitute.
- Scientific rigour and methodology design
- Critical interpretation of AI-generated outputs
- Communication of findings to non-technical audiences
AI capabilities
Where AI tools extend what this role can achieve — the augmentation layer that multiplies human output.
- AI-accelerated literature review and synthesis
- Automated data pipeline construction and validation
- Hypothesis generation from large structured datasets
Data & Analytics — inherited foundations
Core human skills and AI foundations shared across all roles in the Data & Analytics family.
Human skills
- Critical thinking
- Communication of complex findings
- Stakeholder interrogation
- Ethical data stewardship
AI foundations
- AI-assisted analysis and modelling
- Prompt engineering for data tasks
- Output validation and hallucination detection
- Responsible AI use in analytics pipelines
SFIA skills
Relevant skill codes from the SFIA framework — the global standard for digital and technology workforce planning.
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This role profile is a placeholder. Full competency guidance, learning pathways, and practical examples are being developed.