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
Fluency in English, both spoken and written.
Benefits
Competitive compensation
Full flexibility – work from home, the office or a mix of both
Work from anywhere for up to 30 days a year
Access to learning resources, mentorship and a growth plan tailored to you
Private healthcare, gym discounts, wellbeing programs and mental health support