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Чётко очерченная junior-роль, работа рядом с опытными коллегами и рост самостоятельности делают вакансию сильным стартом в data science для страхования, но она доступна только в Лондоне и без визового спонсорства.
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Текст:
Hirify AI/Оригинал
TL;DR
Junior Pricing Data Scientist (Insurance): Applying statistical, mathematical, and machine learning methods to practical insurance pricing questions with an accent on connecting quantitative analysis to commercial decisions. Focus on explaining analytical findings, collaborating with pricing colleagues, and developing independent judgement for increasingly substantial work.
Location: London, United Kingdom; hybrid, 3 days in office
Company
hirify.global is a financial services company providing insurance and car loans, with 700+ employees and unicorn status.
What you will do
Work with pricing colleagues on scoped analytical and data-driven projects, taking on increasing responsibility.
Apply mathematical, statistical, and machine learning techniques to practical insurance pricing questions.
Connect analysis to the business decision it informs.
Explain findings clearly, update colleagues across the business, and follow up on agreed actions.
Use feedback to improve data science methods, coding practices, and commercial understanding.
Requirements
Strong academic record and a research master's or PhD in a quantitative field such as mathematics, physics, or econometrics.
Experience applying quantitative methods or machine learning to a practical problem through studies, research, a personal project, or work.
Ability to explain how an approach fits the problem rather than relying on theory alone.
Willingness to learn, seek feedback, build independence, communicate rationale and findings clearly, keep colleagues informed, and take ownership of agreed actions.
Nice to have
Industry experience through a placement, internship, experience while studying, or experience between a research master's and PhD.
Culture & Benefits
Environment focused on autonomy, ownership, continuous improvement, high standards, and collective success.
Bonus scheme designed to reward high performance.
Private medical insurance, mental health support, personal learning budget, and 2 dedicated L&D days per year.
Monthly flexible benefits budget.
25 days of holiday plus bank holidays.
Work from anywhere for 4 weeks per year.
Visa sponsorship is not available for this position.
Hiring process
30-minute initial call with a member of the Talent Team.
90-minute combined Past Experience and Technical interview.
90-minute onsite Culture interviews.
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