Data Scientist
Pubblicato il 15-08-2026 - PRIMa in Milano
Questa posizione è in Prima
Riassunto dell'opportunità da parte della Joinrs AI : Prima ricerca Data Scientist con background in Matematica, Fisica, Ingegneria, Data Science o Statistica per contribuire allo sviluppo dei modelli di pricing e rischio, utilizzando machine learning e analisi avanzata. Il ruolo supporta la crescita aziendale nel settore assicurativo in espansione, con contratto full-time e salario vantaggioso da €45k a €75k, lavoro flessibile da remoto o ufficio e opportunità di crescita professionale.
Il processo di selezione sarà interamente gestito da Prima.
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Are you looking for a new challenge?
Fancy helping us shape the future of motor insurance?
Prima could be the place for you.
Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.
To help fuel that growth, we’re looking for Data Scientists to join our Pricing & Underwriting Department, the strategic engine behind Prima's growth.
As part of this global team, you’ll play a pivotal role in shaping our strategy and strengthening our competitive edge. Using data, analytical thinking, machine learning and business acumen, you’ll help predict the future and set the right prices, keeping our offering both attractive and sustainable. You’ll work with your data science tools and skills to bring real-world impact, collaborating with cross-functional teams to turn insights into action and fuel innovation across the company and its different branches.
What you’ll do
- 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