Role sheet · Data & AI
Data Scientist
عالم البيانات
Extracts predictive insight from government data to improve policy, services and resource allocation.
Tasks changing in this role, 2026–2030
An illustrative development reference, not a job description or a requirement.
- Evaluating and adapting ready-made and language models instead of building from scratchShiftingAI & DataEmerging Tech
- Documenting a model’s limits and biases before it supports a public decisionGrowingAI & Data
- Explaining results to non-specialists in the language of decisionsGrowingLeadership
- Cleaning and preparing data by handDecliningAI & Data
A sample work product that shows the skill
A model card explaining purpose, data, accuracy, limits and who reviews the results.
Core responsibilities
- Design, train and validate statistical and machine-learning models on domain problems.
- Communicate findings through visualisations and narratives that non-technical leaders can act on.
- Apply data ethics, privacy and quality standards across the model lifecycle.
Target level in each domain
Editorial estimateWhat is usually expected of someone in this role, as a guide for a development conversation, not for performance appraisal.
- AI & DataLeadership (4 of 4)
- CybersecurityApplication (2 of 4)
- Cloud & InfraProficiency (3 of 4)
- Service DesignApplication (2 of 4)
- Policy & GovernanceApplication (2 of 4)
- Agile DeliveryApplication (2 of 4)
- Emerging TechProficiency (3 of 4)
- LeadershipApplication (2 of 4)
Matching SFIA skill codes
An editorial, indicative mapping.
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