Arthur Turrell
Senior Research Economist Senior Data Scientist
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolArthur Turrell is an Innovation Fellow and data science leader with a decade of experience at the intersection of economics, statistics and research, currently holding roles at 10 Downing Street, the Royal Statistical Society and the Bank of England. He combines a PhD in Physics and Part III Mathematics with hands-on econometric and data-science practice developed across the Office for National Statistics and central banks, translating complex quantitative problems into policy-ready insight. His work spans research management, financial-stability modelling and public-sector data innovation, and he authors practical teaching materials—such as the Coding for Economists quickstart notebook—to make coding accessible to economists. Notably, his background in high-energy physics gives him a rigorous, experimental approach to modelling and uncertainty that informs both technical and strategic decisions.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Imperial College LondonMaster's Degree Part III Mathematics, Master's Degree Part III Mathematics at University of CambridgeBSc Natural Sciences (Mathematics and Physics), BSc Natural Sciences (Mathematics and Physics) at Durham University
Github Skills (15)
data-visualizations10
data-visualisation10
data-visualization10
data-analysis10
markdown-it9
markdown9
jupyter-notebook8
machine-learning8
docbook8
textbook8
storybook8
data-science8
econometrics7
python7
economics7
Programming languages (10)
Github contributions (5)
aeturrell/coding-for-economists
Nov 2020 - Dec 2022
This repository hosts the code behind the online book, Coding for Economists.
Role in this project:
Data Scientist
Data ScientistContributions:3 releases, 4 reviews, 350 commits in 2 years
Contributions summary:Arthur contributed to the development of a quickstart tutorial for a book titled "Coding for Economists". The commits included adding example Python code, and explanatory markdown, including data exploration, analysis, and presentational techniques to give a taste of coding by covering a mini-project from end-to-end. The changes include the creation of a jupyter notebook to be launched on Google Colab.
code-behindeconomicseconometricseconomics-modelsjupyter-notebook
aeturrell/example-reproducible-research
Sep 2021 - Dec 2024
This has been prepared as an example of reproducible research for the online book Coding For Economists.
Contributions:2 PRs, 3 pushes, 3 branches in 3 years 3 months
reproducible-researchdockerfilepythonreproducible-science
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