Data Scientist - Non-life Pricing
Our client is seeking a talented data scientist to join its pricing team where you will develop and apply data science, machine learning and other statistical techniques to gain insights into insurance products.
Working closely with technical pricing analysts and other data analysts elsewhere in the business, you will be responsible for expanding data processing and technical modelling framework.
In addition, you will establish efficient ways of implementing segmentation and predictive models whilst ensuring that reusable data assets build smoothly on a regular basis.
With exceptional statistical skills, the successful candidate will possess experience of building predictive models using a wide variety of tools and techniques.
Advanced experience of commercial data science or analytics software (e.g. Python, R, SAS/WPS, MATLAB etc.) also required.
Please contact us to discuss this vacancy or for an informal discussion regarding your career goals. We are very happy to perform bespoke research on your behalf.
David Ellis, Associate Director
M: +44 (0) 7432 791061
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