Data Science & Actuaries: A Practical overview

Improvements in computational power has given rise to the use of data science techniques in a wide variety of areas, including finance, driverless cars, image detection, speech recognition etc.

In a world of high volume and varied datasets, data science techniques can add valuable tools to an actuary’s toolkit to provide actionable insights from data.

We cover:

  1. Improved data and computational capabilities can tackle traditional actuarial tasks with increasingly sophisticated approaches
  2. The actuary can expand their toolkit by learning practical data science skills
  3. Data Science can be applied in an insurance context, using practical business examples.We will also provide a high-level overview of the various machine learning techniques that are used covering the key supervised and unsupervised learning methods


Michael Jordan

Dupro Advisory
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Aurélien Couloumy

Head of Data Science
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Rodwel Mupambirei

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