Data Scientist
Pubblicato il 19-10-2026 - PRIMa in Sassari
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 need a Data Scientist to join our Anti Fraud Team.
In this role, you’ll have the opportunity to tackle fraud, one of the most impactful and fast-evolving challenges in insurance. You will do this from a global perspective. In fact, the team is responsible for detecting fraudulent claims across all Prima markets: the UK, Spain and Italy.
You’ll collaborate with engineers, claims handlers and business leaders to improve the detection of fraud, directly influencing real-world fraud decisions with impact on the company’s bottom line measured in millions.
This is a highly practical area of work where strong business judgment is just as important as technical expertise.
Excited to make an impact? Here are the details
What you’ll do
- Design and improve fraud detection systems that prioritize high-risk claims, optimizing the trade-off between detection accuracy and operational efficiency
- Collaborate across teams and functions , working closely with fraud analysts, engineers, and product managers
- Develop deep expertise in fraud dynamics , identifying emerging fraud patterns, understanding how they evolve across the insurance lifecycle, and translating these insights into effective detection and prevention strategies, for example identifying suspicious networks of related claims, synthetic entities, or anomalous behavioral patterns
What we’re looking for
- Extensive experience (3+ years) i n data science or applied machine learning , leading end-to-end initiatives