Harriet Sands is a Senior Data Scientist with nine years of experience applying data science to public good across UK government and civic tech. Currently at NHS England, she previously shaped policy-facing analytics at HM Treasury and built population-level insights at the ONS Data Science Campus. Her background includes data-for-good research with the University of Chicago’s DSSG and commercial analytics experience at dunnhumby, giving her a rare mix of policy, research and product-focused practice. She is experienced in turning complex public-sector problems into actionable, auditable models and operational tools used by decision makers. Collected roles across No.10, HMT and NHS suggest strong stakeholder fluency and an ability to embed data products into government workflows. Trained at the University of Cambridge, she blends rigorous analytical foundations with a pragmatic, impact-first approach.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bachelor's degree at University of Cambridge
Data ethics and society reading group for cross government. We run sessions on books and articles relating to ethics in data science and AI for public sector colleagues.
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