Insurance / Reinsurance

Data Scientist - Bermuda

  • Permanent Position
  • REF Number : 344
On behalf of our Client we are recruiting for a newly created Data Scientist role to live and work in Bermuda.

Responsibilities will include: 

  • Focusing on process automation, data interrogation, visualization and validation alongside the continued enhancement of and extension to the Analytics and Risk Platform.
  • Applying a critical mind to working on a wide range of systems and technologies to solve problems.
  • Collaborating with cross-functional experts in technology, underwriting and operations to build and improve system interfaces/features to enable teams to better interpret and make decisions based on data.
  • Working with the risk and underwriting teams to enable data and science- based decisions that support the management of the exposure to earthquakes, hurricanes, fires and floods.
  • Designing and developing models to support risk estimation of non-elemental perils such as energy, marine, space, aviation, terror, and casualty insurance. 

The successful candidate will have: 

  • A deep knowledge of modern development languages, databases and data management systems, primarily Python (numpy, pandas), SQL, R, JavaScript and HTML.
  • A numerical background with a scientific, engineering and/or mathematical university degree.
  • A desire to work in a high-performing collaborative environment and commitment to building a culture of innovation.
  • Three years’ working experience (or relevant experience in an academic setting) with a minimum of two years’ experience with data    analytics in high performance computing environments.
  • Exposure to meteorological or seismological sciences, civil engineering studies, or prior experience in the insurance industry would be beneficial.
  • Willingness to challenge their knowledge of portfolio modelling, genetic algorithms, Geographic Information Systems (GIS) ridge regression solutions, Generalised Linear Models (GLM), natural catastrophes, task automation and performance profiling.


For more information, or to confidentially apply - please contact:
Steph Thomason Tel: 296-0497 Email:

We look forward to working with you!


  • Permanent Position
  • REF Number : 344

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