Geospatial Pricing / Data Science Analyst
Your new role
As a Geospatial Pricing / Data Science Analyst you will be involved in building, developing and monitoring the group's weather related home risk premium models; producing rating factors to help better predict risk; performing analysis of claims data;, and assessing their performance after large weather events where you'll communicate findings and recommendations to various stakeholders.
There is additionally a strong data science element which comes from the fact that this role sits firmly within the Home Technical Pricing Team where more and more they are moving to use machine learning techniques in their work. This Team, for instance, is currently overseeing the data part of the group's pre-population solution
What you'll need to succeed
To be successful in your new role, you will have previous experience within either an analytical / pricing or data science role. Knowledge of personal lines products would be advantageous.
You will be a creative and analytical problem solver, be self-driven and a motivated team player, and confident in making decisions and using your own initiative. Having an interest in geography and the natural environment would be advantageous.
Ideally you will have knowledge and / or experience of traditional / alternative predictive modelling techniques and modelling software (e.g. Emblem, Radar), programming languages (e.g. SAS, Python, R), and geospatial software and data sets (e.g. ArcGIS)
What you'll get in return
The salary being offered is up to £42k plus fantastic benefits, these benefits include pension funding and significant discount of certain products that the company offers.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.