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Transform insurance with your data science skills at innovative Marshmallow
Overview
Salary
No salary declared 😔
Location
London, UK
Nomad Friendly?
In-person- London United Kingdom
Expires
Expires at anytime
Organisation Summary:
Marshmallow is a forward-thinking insurance company that challenges the status quo by offering fairer prices and serving those often overlooked by traditional financial services. Their mission is to champion the underrepresented, making it an exciting place for those passionate about making a tangible difference in the insurance sector.
- Role Summary:
- Optimize customer acquisition and retention strategies using data analytics.
- Enhance product presentation and pricing models for new customer sign-ups.
- Develop data-driven solutions to extend customer lifetime value.
- Collaborate with cross-functional teams and become a domain expert.
- Role Requirements:
- Commercial mindset with a focus on delivering business impact.
- Excellent communication skills across technical disciplines.
- Proficiency in building data models and analytics products.
- Experience in developing ML models tailored to business needs.
- Strong coding skills in Python, SQL, and handling large data sets.
- 1-2 years of commercial experience in a relevant field.
- Benefits:
- Flexible office and remote working environment.
- Comprehensive benefits package, including personal development budgets.
- Support for mental wellbeing and health care plans.
- Generous holiday allowance and social events.
- Application Process Details:
- Initial call with Talent Acquisition Partner.
- Previous experience interview with Head of Data Science.
- Technical interview with a Senior Data Scientist.
- Culture fit interview.
Additional Information:
Marshmallow is an equal opportunity employer, committed to inclusivity and encourages people from all backgrounds to apply, fostering a diverse and welcoming workplace.
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 We’re looking for a Data Scientist to help us push our acquisition and retention tribes to the next level. You will be improving how we present and price our different products when new customers are signing up, and working on how we can retain those customers for longer to drive up retention. You will work within a cross-functional team and become an expert in your area.
Job Requirements You have a commercial mindset, focused on delivering impact to the business as quickly as possible. You can communicate clearly with people of all technical levels and disciplines. You have experience building future-proof data models and analytics products, driving business action and impact from data-driven insights, and developing ML models to answer business cases. You have strong coding ability in Python, SQL and the ability to manipulate large data sets. You have at least 1-2 years commercial experience.
Benefits We offer a flexi-office working environment, flexible benefits budget, personal budgets for books and training courses, mental wellbeing support, equity, private health care, medical cash plan, tech scheme, 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!
Application Details Our process is broken up into 3 stages: Initial call with Luke, our Talent Acquisition Partner (45 mins), a previous experience interview with Paul, our Head of Data Science (45 minutes), a technical interview with one of our Senior Data Scientists (1 hr), and a culture interview with a bar raiser (1 hour).
Additional Information At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. We're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles.
