Leverage data to identify risks, opportunities and key pricing drivers, turning complex information into actionable insights that influence strategic decision making
Leverage Machine Learning and advanced analytics to develop risk and pricing models that power real-time insurance pricing for millions of customers
Contribute directly to the company’s growth and long-term success through innovative modelling, experimentation and commercially impactful insights
Requirements
Strong academic background in Mathematics, Physics, Engineering (Maths, Physics and Computer Science specialisations), Data Science, Computer Science or Statistics
Strong quantitative, logical and analytical abilities, a solid foundation in statistics, probability and advanced analytics, and a curious, proactive and innovative mindset focused on solving complex problems