Data Scientist - Fraud Detection

Helloprima

Milano

Ibrido

EUR 50.000 - 80.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Helloprima is expanding its Anti Fraud Team in Milan to tackle fraud at scale across all markets. You will work with engineers, claims handlers and business leaders to strengthen fraud detection and reduce losses.

The role emphasizes practical data work, collaboration across teams, and delivering measurable impact on the bottom line.

Competenze

  • Experience in fraud detection or anti-fraud analytics.
  • Strong data storytelling and business judgment.
  • Proficient in Python and ML frameworks.
  • Bachelor's degree in a quantitative field.

Mansioni

  • Detect fraudulent claims across markets and improve detection accuracy.
  • Collaborate with engineers, claims handlers and leaders to implement robust fraud rules.
  • Translate data insights into actionable decisions that impact risk and costs.

Conoscenze

Fraud detection
Data analysis
Python
Machine learning

Formazione

Bachelor's degree in quantitative field

Strumenti

SQL
Pandas
scikit-learn

Descrizione del lavoro

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.

Excited to make an impact? Here are the details

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