Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль в продуктовой компании даёт много самостоятельности и возможность доводить модели до реального применения в бизнесе; главное ограничение - компания не оформляет визовую поддержку.
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Без визовой поддержкиАктуальные инструментыРастущий финтехВлияние на решенияРабота из разных мест
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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