The Data Science* Community is an alternative to the traditional ‘practice board’ structure within the IFoA. It started out as a working party in 2018 when it succeeded the Modelling, Analytics and Insights from Data Working Party.
The overall objective of the Data Science Community is to be a central hub of delivering regular contents (including but not limited to research papers, case studies, webinars, events), education, and strengthening the blend of data science in actuarial and industry applications.
Our vision is to become a centre of excellence, being the primary route of engagement between IFoA and members with an interest in data science.
See the structure of the community below.
* We refer to ‘data science’ as a collective term for several subject areas. These are data science, data analytics, big data, data analysis, data mining, artificial intelligence, machine learning, robotics, data visualisation, predictive modelling, and deep learning.
Explore all the IFoA’s active data science research working parties.
At the heart of our work are 4 pillars: lifelong learning, research, engagement, and professionalism and ethics.
For more information about any of our practice areas, please email the Communities Engagement Team
