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4 дня назад

Pricing Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Pricing Data Scientist (Insurance Pricing/ML): Developing and deploying claims, price optimisation, and real-time pricing models using Python, SQL, and external data with an accent on commercial impact and high-frequency rate changes. Focus on modelling claims risk, building API-based pricing models, supporting new product launches, and working with Engineering and MLENG to implement pricing decisions.

Location: Hybrid in London, United Kingdom; includes 4 weeks of working from anywhere per year.

Company

hirify.global is a financial services company providing insurance and car loans, with more than 700 employees, unicorn status, and millions of insured drivers and loan customers.

What you will do

  • Develop a deep understanding of quote, policy, and claims data and derive insights to improve pricing.
  • Own a strategic pricing initiative, such as supporting expansion plans or protecting renewing customers.
  • Conduct claims analysis, claims modelling, and price optimisation using SQL, Python, and R.
  • Build and deploy models in APIs for real-time pricing.
  • Identify and evaluate external data sources to refine claims-risk modelling.
  • Work with Engineering and MLENG to implement pricing proposals and support the launch of new products.

Requirements

  • Ability to interrogate data and conduct pricing analysis using SQL and Python or R.
  • Ability to build GLMs, GBMs, and other claims models using Python or R.
  • Experience working in a data-driven role, ideally in a commercial environment such as quant, credit, or fraud.
  • Ability to communicate complex concepts clearly to non-experts.
  • Ability to build and maintain strong relationships throughout the business.
  • Proactive, curious, opinionated, commercially minded, and comfortable owning end-to-end transformation.

Culture & Benefits

  • High autonomy, ownership, and responsibility for rapidly implementing pricing changes.
  • Collaboration with Pricing Data Scientists, Analysts, Data Science, Engineering, and MLENG teams.
  • Bonus scheme designed to reward high performance.
  • Private medical insurance with Vitality and mental health support with Oliva.
  • Personal learning budget, two dedicated L&D days per year, and a monthly flexible benefits budget.
  • 25 days of holiday plus bank holidays.

Hiring process

  • 30-minute initial call with a Talent Team member.
  • 90-minute combined past experience and technical interview.
  • 90-minute onsite culture interview.

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