The Institute and Faculty of Actuaries (IFoA) Data Science Research Section is an international research community, consisting of actuaries, data scientists, statisticians and academics meeting regularly to research and develop data science techniques in actuarial and insurance applications. We organised and disseminate our works through research working parties.

We aim to achieve this by:

  1. Identifying interesting actuarial data science research problems and data sets
  2. Conducting research and case studies, including but not limited to pricing, underwriting, capital modelling, mortality, morbidity, fraud, customer behaviour, privacy and technology
  3. Publishing data science case studies and papers, via The Actuary magazine, journals, webinars, web blogs, LinkedIn and conferences

The IFoA Data Science Research Section consists of 10 working parties:

  1. Statistical Learning in Actuarial Application Working Party
  2. Federated Learning Working Party
  3. Supervised Learning Working Party
  4. Natural Language Processing (NLP) Working Party
  5. Unsupervised Learning Working Party
  6. Deep Learning Working Party
  7. Explainable Artificial Intelligence (xAI) Working Party
  8. Data Visualisation Working Party
  9. Data Analytics in Embedded Insurance Working Party
  10. Data Science Contents and Webpage Working Party


Chair of Research Section: John Ng
Deputy Chair of Research Section: Alexis Iglauer
Academic Chair of Statistical Learning in Actuarial Applications WP: Associate Professor George Tzougas
Chair of Federated Learning WP: Malgorzata Smietanka
Chair of Supervised Learning WP: Neptune Jin
Chair of Natural Language Processing (NLP) WP: John Ng
Chair of Unsupervised Learning WP: Debashish Dey
Chair of Deep Learning WP: Pieter Knox
Chair of Explainable Artificial Intelligence (XAI) WP: Jonathan Bowden
Chair of Data Visualisation WP: Eilish Bouse
Chair of Data Analytics in Embedded Insurance WP: Zack Chan
Chair of Data Science Contents and Webpage WP: Zack Chan

Contact us

If you have any questions about the IFoA Data Science Research Section, please contact John Ng or the Professional Communities Team (professional.communities@actuaries.org.uk)


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The information and expressions of opinion contained on this site are not intended to be a comprehensive study, nor to provide actuarial advice or advice of any nature and should not be treated as a substitute for specific advice concerning individual situations. On no account may any part of this publication be reproduced without the written permission of the Institute and Faculty of Actuaries.