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Join Marshmallow's Innovative Pricing Team and Transform the Insurance Industry
Overview
Salary
No salary declared 😔
Location
London, UK
Nomad Friendly?
Hybrid (In-person ~3 day / week)- London United Kingdom
Expires
Expires at anytime
Organisation summary
Marshmallow is a pioneering insurance company on a mission to make pricing fair for newcomers to the UK. We're a dynamic team dedicated to serving the underrepresented individuals in financial services, using novel solutions to address significant challenges for those who need it the most.
Role Summary
- Report to the Retail Pricing Manager within the Pricing Team.
- Focus on maximising broker income and achieving growth targets.
- Collaborate with Pricing Data Scientists & Analysts on innovative projects.
- Contribute to the Data Science community with customer behaviour modelling, fraud analysis, and MLENG enhancements.
Role Requirements
- Proficiency in data interrogation and pricing analysis using SQL & Python/R.
- Ability to combine domain knowledge and analytical skills to create innovative pricing strategies.
- Minimum 3 years' experience in a data-driven Commercial role, preferably in insurance.
Application Process Details
- Initial screening call with the Talent Acquisition team.
- Review of experience & introductions with the Retail Pricing Manager.
- Skill-based interview with a principal data scientist.
- Culture fit interview with a senior stakeholder.
About Marshmallow We started Marshmallow when we found out how unfair insurance prices are for people who move to the UK. We saw an opportunity to do things differently, so we made it our mission to back the ones who step outside the norm. We serve people that are often overlooked by financial services companies, solving important problems for people who need it most.
The Role This role will sit in the Pricing Team, reporting into the Retail Pricing Manager. The team’s main focus is maximising broker income, and achieving our growth targets. You’ll work alongside other Pricing Data Scientists & Analysts pushing their innovative pricing projects; whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements.
Job Requirements You should have the ability to interrogate data and conduct pricing analysis within SQL & Python/R and combine domain & analytical skills to generate novel pricing proposals. At least 3 years of experience working in a data driven Commercial role (ideally insurance) is required.
Benefits Flexible working - Spend 3 days a week with your team in our new collaborative London office, and own your own working hours. Competitive bonus scheme, Flexible benefits budget, Mental wellbeing support, Learning and development, Private health care, Medical cash plan, Tech scheme.
Application Details We break it up into 4 stages: Initial screening call with a member of the TA team, Initial review of prior experience & introductions with the Retail Pricing Manager, A skill-based interview with a principal data scientist, A culture interview with a senior stakeholder to check that your work style fits our processes and values.
