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3 дня назад

Data Scientist (Insurtech)

45 000 - 75 000
Формат работы
remote (только Italy)/hybrid
Тип работы
fulltime
Английский
c1
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (Insurtech): Developing risk and pricing models for real-time insurance pricing with an accent on machine learning and advanced analytics. Focus on identifying pricing drivers and transforming complex data into actionable strategic insights.

Location: Hybrid in Milan, Italy

Salary: €45,000 – €75,000

Company

hirify.global is a leading online motor insurance provider based in Italy, currently expanding its operations into the UK and Spain.

What you will do

  • Identify risks and key pricing drivers to turn complex information into actionable strategic insights.
  • Develop risk and pricing models using Machine Learning to power real-time insurance pricing for millions of customers.
  • Contribute to long-term company growth through innovative modelling and experimentation.
  • Collaborate with cross-functional teams to translate data insights into business action.

Requirements

  • Strong academic background in Mathematics, Physics, Engineering, Data Science, Computer Science, or Statistics.
  • Solid foundation in statistics, probability, and advanced analytics.
  • Fluency in English (spoken and written) is required.
  • Must be based in or able to work from Milan, Italy (Hybrid setup).

Nice to have

  • Solid foundation in code development and machine learning, specifically using Python.
  • Experience in creating, manipulating, and analyzing large datasets.
  • Strong communication skills with the ability to drive new ideas and challenge assumptions.

Culture & Benefits

  • Full flexibility with options to work from home, the office, or a mix of both.
  • Possibility to work from anywhere for up to 30 days per year.
  • Private healthcare, gym discounts, wellbeing programs, and mental health support.
  • Access to tailored growth plans, mentorship, and extensive learning resources.

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