Data Scientist - Fraud Detection

Prima

Milano

On-site

EUR 55,000 - 85,000

Full time

14 days+

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Job summary

Prima, a leading online motor insurance provider, is seeking a Data Scientist for the Anti Fraud Team. You will work on detecting fraudulent claims across the UK, Spain and Italy, leveraging data and technology to improve detection and risk decisions. The role emphasizes practical impact and close collaboration with engineers, claims handlers and business leaders.

Join a growth-minded company that values data-driven insights to deliver a great experience at a great price for millions of drivers.

Responsibilities

  • Tackle fraud by applying data science techniques to detect fraudulent claims across Prima markets (UK, Spain, Italy).
  • Collaborate with engineers, claims handlers and business leaders to improve fraud detection and decision accuracy.

Job description

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 aData 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.

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