- 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.
Mostra le tue capacità professionali all'azienda, compila il form e lascia un tocco personale nella lettera di presentazione, aiuterà il recruiter nella scelta del candidato.