Data Scientist GenAI

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. We’re looking for a Data Scientist to join our AI team focused on bringing ML & Generative AI into the heart of our operations (e.g. claims, underwriting, customer support). In this role, you’ll have the opportunity to redefine the core operative processes, leveraging ML & GenAI techniques to enhance not only efficiency but, most importantly, the overall effectiveness and quality of outcomes. You’ll collaborate with data scientists, engineers, and business leaders to design and deliver AI-driven products that create tangible business value and redefine the future of ops at Prima.

Responsibilities

Leverage Machine Learning and GenAI to solve complex business problems, making our processes better and faster; Analyze and interpret complex data to support decision-making; Contribute directly to Prima’s long-term success and financial impact through concrete solutions

Requirements

Strong academic background in quantitative fields such as Math, Physics, Data Science, or Engineering; All experience levels, including recent graduates with no prior working experience; Strong analytical and quantitative skills; Structured problem solving skills and being able to analyze and break down complex problems; Curiosity, proactivity, quick learning and an innovative mindset

Nice to have

Hands-on experience with Python and coding best practices; Experience with machine learning and Generative AI (openAI/Gemini APIs, agentic frameworks, …); Business proficiency in Italian or Spanish, in addition to English

Benefits

Flexible working (home/office/mix); Work from anywhere for up to 30 days a year; Learning resources; Mentorship; Tailored growth plan; Private healthcare; Gym discounts; Wellbeing programs; Mental health support