Senior Data Scientist - Fraud

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 Senior Data Scientist to join our Anti Fraud Team.

In this role, you'll have the opportunity to taclke 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., * 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

• At least 3 years of experience in analytical fraud detection in the Insurance, Finance or Law Enforcement domain
• Applied knowledge of network analysis, anomaly detection or risk scoring and segmentation to real fraud problems
• Strong Python programming skills, especially in the data domain, and fluent use of Git
• Knowledge of Spark, SQL or any other data-oriented programming language and proficiency with standard data wrangling and modeling libraries (Pandas, Sklearn, Keras, XGBoost, LightGBM, etc.), * Experience in motor insurance
• In-depth knowledge of graph databases (Neo4j, AWS Neptune) and analytics (NetworkX, GNN) or explainability applied to anomaly detection
• Knowledge of BI tools (Tableau or similar)
• Proficiency in Italian and/or Spanish

At Prisma, we are building the data layer for modern applications. If you are fascinated by the leading-edge architecture and technology used in today’s data-intensive, highly scalable software systems, with distributed graph data on a massive scale, but you want the energy, challenges, and freedom that come with working in a small startup, then a job at Prisma might be for you.

With funding from top-tier investors Amplify Partners and Kleiner Perkins, we are a small, distributed team working on making the advanced data infrastructure developed by large tech companies accessible to all application developers around the world. Our hard work is paying off, with adoption and implementation of Prisma by some of the most successful and interesting companies out there today, and the fun is just beginning!