4 дня назад
Pricing Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Pricing Data Scientist (Python/SQL): Building and deploying claims, pricing, and optimisation models for real-time insurance pricing with an accent on quote, policy, claims, and external data analysis. Focus on developing GLMs and GBMs, integrating models into APIs, identifying new risk data sources, and implementing pricing changes with Engineering and MLENG.
Location: London, hybrid
Company
is a financial services provider focused on migration, insurance, car loans, and developing new financial products.
What you will do
- Develop a deep understanding of quote, policy, and claims data to generate insights for pricing improvements.
- Own a strategic pricing initiative, such as supporting expansion plans or protecting renewing customers.
- Conduct claims analysis, claims modelling, and price optimisation using SQL and Python.
- Build and deploy pricing models in APIs for real-time pricing.
- Identify and evaluate external data sources that improve claims-risk modelling.
- Work with Engineering and MLENG to implement pricing proposals and support new product launches.
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.
- At least 3 years of experience in a data-driven, ideally commercial, role.
- Proactive, commercially minded, curious, and able to take end-to-end ownership.
- Ability to explain complex concepts clearly to non-experts and build relationships across the business.
Culture & Benefits
- Bonus scheme designed to reward high performance.
- Private medical insurance with Vitality and mental health support with Oliva.
- Personal learning budget and two dedicated L&D days per year.
- Monthly flexible benefits budget.
- 25 days of holiday plus bank holidays.
- Work from anywhere for up to 4 weeks per year.
Hiring process
- Initial 30-minute screening call with a member of the Talent Acquisition team.
- 90-minute past experience and technical discussion with members of the team.
- 60-minute culture interview.
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