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Experience

2026 –
Senior Data Scientist Entrust
  • Working on the biometric side of the product.
  • Extensive data modelling in dbt.
  • Building agentic AI pipelines for end-to-end anomaly detection and root cause analysis.
  • Leading funnel and retention analysis to drive team's headline KPIs.
2024 – 2026
Senior Data Scientist Roku
  • Led analytics for Roku Live content, owning AB test design and execution.
  • Maintained live data pipelines and delivered real-time reporting to stakeholders.
  • Conducted research projects on user retention in live, scroll behaviour on live TV surfaces, and content interaction patterns.
  • Worked closely with engineering and product to identify and act on improvements to the user experience.
2022 – 2024
Data Scientist / Economist Deliveroo
  • Applied causal inference to a broad range of questions: new app launches, customer loyalty programmes (including CLV impact), premium delivery, incrementality modelling, and partner-specific requests.
  • Combined causal inference and machine learning to understand how customer responses to bad service outcomes vary by order and customer characteristics.
  • Productionised the company's main dataset for use in quasi-experimental analysis.
  • Mentored junior team members in causal inference and data pipelines; led internal sessions and workshops on the latest advances in econometrics.
2013 – 2022
Research Economist LSE Centre for Economic Performance
  • Pursued PhD part-time alongside this role.
  • Applied microeconometric modelling to panel, administrative, and longitudinal data.
  • Secured external research grants and collaborated with leading think tanks.
  • Published in top peer-reviewed journals — see research page for examples.
  • Work covered across major UK outlets: The Times, FT, The Guardian, The Telegraph, and The Economist.
  • Active general-audience engagement and policy communication.

Education

2024
PhD Economics University College London
2013
MSc Economics University of Warwick

Skills

In terms of what I use everyday: Python, SQL, dbt, Snowflake, Git, and Looker. I experiment with other tools in personal projects and have used other tools in the past. AI is a big part of how I work — for writing code, exploring ideas, and building things quickly. I like pi, which I used to build and maintain this site.