Hybrid Senior Data Scientist – Fraud Specialist

Posted 1 hour ago

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About the role

  • Data Scientist at Prima shaping the future of motor insurance through advanced analytics and machine learning. Collaborating with cross-functional teams to turn insights into action.

Responsibilities

  • Design, build and evolve Prima’s proprietary predictive technology, in topics such as the prediction of future claims, tactical pricing, renewal probability, fraud detection and customer lifetime value, etc;
  • Define and support the implementation in each country of the key tools to understand how the business is growing, for example: conversion, retention, emerging profitability;
  • Support the countries in planning the pricing and UW strategy and consequent follow up;
  • Develop a strong critical spirit and creativity that can act as an engine for Prima's growth.

Requirements

  • Impressive academic achievements in Mathematics, Computer science, Physics, Statistics, Mathematical Engineering or Physical Engineering;
  • 2+ years of work/research 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 using semi-supervised, self-supervised and human-in-the-loop machine learning techniques;
  • Strong Python programming skills - especially in the data domain - and fluent use of GIT;
  • Excellent English level, oral & written;
  • Genuine, collaborative mindset that inspires and guides others.

Benefits

  • Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
  • Grow with us: Get access to learning resources, mentorship and a growth plan tailored to you.
  • Thrive and perform: Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Job title

Senior Data Scientist – Fraud Specialist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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