Graduate Engineer
Pubblicato il 30-08-2026 - PRIMa in Italia
Are you looking for a new challenge?
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. To help fuel that growth, we’re looking for Data Scientists to join our Pricing & Underwriting Department, the strategic engine behind Prima’s growth.
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.
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.
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.
Strong communication skills, with the ability to challenge assumptions, and drive new ideas;
Possess a solid foundation in code development and machine learning, ideally in Python;
Please note: this is the same position as the one referred as “Data Scien