Data & AI Solutions Architect for Research Platform Consultation
python, artificial-intelligence, data-analysis
Preferred qualifications
- Experience: Intermediate
We’re looking for an experienced data and AI solutions architect for an initial paid consultation on a research and evidence-tracking platform.
Our first use case involves tracking manifesto commitments against government datasets, official documents and news. The proposed system would collect and organise evidence, prepare suggested updates for researcher review, and maintain a tracker or dashboard.
We have a preliminary source/API registry and workflow outline. We now need practical technical advice on feasibility, architecture and implementation requirements, including opportunities to reuse existing analytics infrastructure.
The consultation should cover:
- Data collection through APIs, downloadable datasets, webpages and documents.
- Data cleaning, validation, storage and preservation of source references.
- Appropriate use of AI alongside ordinary processing and researcher review.
- Scheduled updates and integration with a tracker or dashboard.
- Hosting options, engineering requirements, maintenance and major cost drivers.
The immediate objective is to identify a manageable pilot, the main technical uncertainties, and the investigations needed before commissioning development.
We’re particularly interested in professionals who have personally designed and delivered data pipelines, document-processing systems or comparable AI-assisted applications.
**Initial engagement**
Please quote for a 60-minute consultation and specify whether reviewing a short brief beforehand and providing a concise written summary are included. We can share representative sources and workflow examples in advance.
There may be follow-on consulting work to prepare a detailed architecture, technology recommendations and development specification.
**Please include in your response:**
1. One comparable project and your personal contribution.
2. Your availability and consultation fee.
3. The preparation and follow-up deliverables included in that fee.
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