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Fast Data Science

London, United Kingdom

2-9€175-260/hrFounded 2018

About

Fast Data Science is a London natural-language and machine-learning consultancy building text-analysis and predictive models for health, pharma and research clients, with an AI due-diligence practice.

Who They Work With

Pharma, research and public-sector buyers with an NLP problem on unstructured documents that has to survive review.

Based on 8 client engagements with a source URL · researched 7 Sept 2026

Our Take

The Clinical Trial Risk Tool is the strongest evidence a shop this size can offer: commissioned by the Gates Foundation, built over more than a year as an ensemble of machine-learning and rule-based models that extract sample size, phase, effect size and statistical-analysis-plan presence from protocols running to 200 pages, deployed publicly, open-sourced under MIT, and written up in Gates Open Research with a DOI.

The consulting record is public-sector and pharma—the Information Commissioner's Office email classifier trained inside an isolated environment on data that could not be retained, Boehringer Ingelheim's factory error-report clustering, Skills Development Scotland's causal analysis using DoWhy and instrumental variables, plus the WHO and the Office of Rail and Road.

What the cases do not carry is outcome numbers: the Skills Development Scotland write-up concludes that interventions appeared to be well-targeted, which is a research finding rather than a delivered result.

At €175-260 an hour this is the most expensive listing in London, so the question is what a named principal's time buys that a larger team's does not.

Key strengths

  • The Clinical Trial Risk Tool is peer-reviewed (Gates Open Res 2023, doi:10.12688/gatesopenres.14416.1), publicly deployed and MIT-licensed
  • Sensitive-data constraints are handled explicitly—the ICO model was trained inside an isolated environment with no training data retained
  • The client list is institutional and verifiable: Gates Foundation, WHO, NHS, ICO, Boehringer Ingelheim, Wellcome Trust

Good to know

  • No case study publishes an outcome number—ask what changed for the client after delivery
  • At €175-260/hr against a 2-9 headcount, ask who does the work and what happens when they are unavailable
  • The published strength is NLP and research-grade analysis—ask for evidence before commissioning a production platform
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 7 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: Bill and Melinda Gates Foundation, Boehringer Ingelheim, Information Commissioner's Office, Skills Development Scotland, Office of Rail and Road, Tarion, Wellcome Trust, and World Health Organization. All 8 carry a source URL on file.

Bill and Melinda Gates FoundationClinical Trial Risk Tool: NLP ensemble extracting sample size, phase, effect size and analysis-plan presence from trial protocols; deployed publicly, MIT-licensed, published in Gates Open ResearchSource
Boehringer IngelheimNLP clustering of factory error reports, and earlier NLP work on clinical trial cost and complexity factors that preceded the Gates toolSource
Information Commissioner's OfficeAzure ML email classification model trained inside an isolated environment on sensitive data that could not be stored or duplicatedSource
Skills Development ScotlandCausal machine learning on education and employment outcomes using DoWhy, Bayesian networks and instrumental variables, controlling for SIMD2020 deprivationSource
Office of Rail and RoadDrag-and-drop GUI dashboard for machine learning model deploymentSource
TarionNLP and machine learning model predicting customer escalation for a housing regulatorSource
Wellcome TrustHarmony data-harmonization tool, entered for the Wellcome Data Prize in Mental HealthSource
World Health OrganizationNamed on the client roster; no case study published

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