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13 часов назад

Data Scientist (Fintech)

80 000 - 160 000GBP
Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
UK
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 (Fintech): Developing risk and pricing models for real-time motor insurance pricing with an accent on machine learning and advanced analytics. Focus on identifying pricing drivers, conducting experimentation, and turning complex datasets into actionable strategic insights.

Location: Hybrid (London, United Kingdom)

Salary: £80k – £160k

Company

A tech-driven motor insurance provider that leverages data to rethink insurance experiences, currently expanding its operations in the UK and Spain.

What you will do

  • Identify risks, opportunities, and key pricing drivers to influence strategic decision-making.
  • Develop ML and advanced analytics models to power real-time insurance pricing for millions of customers.
  • Contribute to company growth through innovative modelling and commercially impactful insights.
  • Collaborate with cross-functional teams to turn data insights into actionable innovation.

Requirements

  • Strong academic background in Mathematics, Physics, Engineering, Data Science, Computer Science, or Statistics.
  • Solid foundation in statistics, probability, and advanced analytics.
  • Strong quantitative, logical, and analytical problem-solving abilities.
  • English: Fluency in both spoken and written English is required.
  • Location: Must be able to work in a hybrid setup in London.

Nice to have

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

Culture & Benefits

  • Competitive compensation with clear growth opportunities.
  • Flexible work arrangement (home, office, or hybrid).
  • Travel perk: ability to work from anywhere for up to 30 days per year.
  • Comprehensive wellbeing support including private healthcare, gym discounts, and mental health programs.
  • Access to mentorship, learning resources, and tailored growth plans.

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