The overall objective of the Data Science Working Party is to be a source of delivering key objectives throughout on an annual basis of this will be to include case studies, webinars, events, strengthening the blend of actuarial expertise's. How we can integrate data science application within IFoA in our educational system and techniques we can use within our industry that are credible.
*We refer to “Data Science” as a collective term for: Data Science, Data Analytics, Big Data, Data Analysis, Data mining, Artificial Intelligence, Machine Learning, Robotics, Data Visualisation, Predictive Modelling, Deep learning.
Objectives
Objectives for Data Science WP for 2020 (considering Covid-19):
- Two Data Science events
- GIRO 2020 Contribution
- Three case studies
- Three webinars
- International Kaggle competition
Outputs
- What makes a Data Scientist?
- The Data Science process
- Statistics vs Machine Learning
- Natural Language Processing in Insurance
- Fitting data with XGBoost
- The Machine Learning Landscape
News and Events
- Data science - How actuaries can optimize usage of data science techniques within their sectors - 12 March 2020
- Data Science Virtual Conference - Data Science an Opportunities for Actuaries - 26 February - 15 April 2019
- Call for actuaries to join a Kaggle Team - for more information please email MemberInterestGroups@actuaries.org.uk
Chair | Asif John |
---|---|
Members | 8 |
Established | 2018 |
Related documents
-
Guidance for Member Interest Groups (MIGs)
16 June 2020
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Contact Details
If you want more information about this research working party please contact the Communities Team.
Events calendar
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