Position: Data Science / Research AI Specialist
Engagement: Consultant / Freelancer
Project: Development of a Geospatial Interactive Planning Atlas System Module
8.1 Role Purpose
The Data Science / Research AI Specialist will be responsible for designing and implementing the data science, research intelligence and AI components of the Planning Atlas.
Particular emphasis will be placed on the Research AI Database Engine, which must support research discovery, retrieval and AI-assisted research capabilities.
Minimum Qualifications
- Degree in:
- Data Science;
- Computer Science;
- Artificial Intelligence;
- Statistics;
- Mathematics;
- Information Systems;
- Machine Learning; or
- related discipline.
- Relevant postgraduate qualification will be advantageous.
Minimum Experience
- Minimum 5 years' experience in data science, analytics, AI, machine learning or related fields.
- Demonstrable experience implementing data-driven applications.
- Experience with AI/LLM technologies will be advantageous.
- Experience working with research databases will be advantageous.
Technical Competencies
- Python
- SQL
- Data analysis
- Statistical analysis
- Machine learning
- Natural Language Processing
- Research databases
- Search/indexing
- Data modelling
- Data cleaning
- Data transformation
- AI/LLM integration
- Prompt engineering
- Retrieval-Augmented Generation (RAG) concepts
- Data visualisation
- R
- Power BI
- Statistical modelling
Key Responsibilities
- Design the Research AI database architecture.
- Develop research metadata structures.
- Develop mechanisms for indexing research papers and documents.
- Develop research search and retrieval functionality.
- Develop AI-assisted research workflows.
- Develop controlled prompt functionality.
- Implement source/reference traceability.
- Develop analytical models.
- Support trend analysis.
- Support scenario and what-if modelling.
- Analyse socio-economic and spatial datasets.
- Develop data-driven indicators.
- Support dashboard analytics.
- Implement appropriate AI governance and access controls.
- Work with GIS and database specialists to integrate research data.
- Ensure AI-generated information can be traced back to source material where applicable.
Expected Deliverables
- Research AI architecture
- Research database
- Research metadata model
- Research indexing/search capability
- AI-assisted research functionality
- Prompt framework
- Source-traceability mechanism
- Analytical models
- Data-analysis outputs
- AI governance recommendations
- Technical documentation
- Knowledge-transfer materials
Application Question(s):
- What is your hourly rate?
Education:
Experience:
- n data science, analytics, AI, machine learning: 5 years (Required)
Work Location: Remote
