Insurance Data Science Conference

ETH Zurich, 14 June 2019


  • Sorry, we are fully booked!


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Local organizers

Scientific committee

  • Katrien Antonio (KU Leuven and University of Amsterdam)
  • Patrick Cheridito (ETH Zurich)
  • Christophe Dutang (Université Paris Dauphine)
  • Guojun Gan (University of Connecticut)
  • Markus Gesmann (Lockton Re, London)
  • Ioannis Kyriakou (Cass Business School, City, University of London)
  • Davide de March (London)
  • Pauli Rämö (Mirai Solutions, Zurich)
  • Ronald Richman (AIG, South Africa)
  • Jürg Schelldorfer (Swiss Re, Zurich)
  • Giorgio Alfredo Spedicato (Unipol Group, Milan)
  • Andreas Tsanakas (Cass Business School, City, University of London)
  • Mario Wüthrich (ETH Zurich)


Swiss Re Institute

Swiss Association of Actuaries


Mango Solutions


Mirai Solutions


Recent Posts

The 2nd Insurance Data Science conference will take place at ETH Zurich, 14 June 2019. Following the launch in London at Cass Business School in 2018, we are inviting you to submit proposals for talks by 15 February 2019 to: [email protected] We are looking for abstracts in the fields of insurance data science, statistical learning and machine learning. This includes technological developments, and mainly focuses on applications in insurance pricing, reserving, risk assessment and modeling, customer analytics, capital management, catastrophe and econometric modelling.


The first Insurance Data Science event was held at Cass Business School last week, 16 - 17 July 2018. The conference followed on from five iterations of the R in Insurance events, which have the aim of bringing together practitioners and academics together to discuss and exchange ideas and needs in the sector. Expanding the remit from R in Insurance to Insurance Data Science has also attracted talks on Python and Tensorflow.


When we started the R in Insurance conference in 2013, we had the aim of bringing practitioners of industry and academia together to discuss, exchange ideas and needs from both sides. R was and is a perfect glue between the two groups, a tool which both side embrace and which has fostered the knowledge transfer between the two. However, R is just one example and other languages serve this purpose equally well.


Past Conferences

Insurance Data Science, London 2018

1st Insurance Data Science conference, Cass Business School.

R in Insurance, Paris 2017

5th R in Insurance at Ecole Nationale de la Statistique

R in Insurance, London 2016

4th R in Insurance conference, Cass Business School.

R in Insurance, Amsterdam 2015

3rd R in Insurance at University of Amsterdam

R in Insurance, London 2014

2nd R in Insurance at Cass Busines School London

R in Insurance, London 2013

1th R in Insurance at Cass Business School