# Junior Pricing Data Scientist **Company**: Marshmallow **Location**: London **Work arrangement**: hybrid **Experience**: entry **Job type**: full-time **Category**: Data Science **Industry**: Finance **Apply**: https://jobs.ashbyhq.com/marshmallow/99c302d4-2772-4e23-bc03-55bfea905f66?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_459b7c1c-fe4 ## Description We started building Marshmallow in 2017. Since then, we've grown from 3 to 700+ people, gained unicorn status, raised ~£140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we'll grow exponentially, not only by scaling our existing products, but also by building new ones. To achieve our goals we need incredibly ambitious, commercially driven people who never settle for 'good enough'. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self-interest. Marshmallow's pricing team applies quantitative methods to real insurance problems. In this role, you'll learn how pricing decisions work in practice and turn data into meaningful outcomes. You'll work closely with a senior pricing team member, bringing your quantitative background into an industry setting. Responsibilities: - Working closely with pricing colleagues on scoped analytical and data-driven projects, taking on more responsibility as your experience develops. - Applying mathematical, statistical and machine learning techniques to practical pricing questions, connecting your analysis to the decision it needs to inform. - Explaining your findings clearly, keeping colleagues from different areas of the business updated on progress and following up on agreed actions. - Using feedback to improve your work and build your understanding of data science methods, coding best practice and the commercial context of insurance pricing. Requirements: - A strong academic record and a research master's or PhD in a quantitative field, such as mathematics, physics or econometrics. - Experience applying quantitative methods or machine learning to a practical problem through your studies, research, a personal project or work. - Industry experience is preferred - a placement, internship or experience whilst studying, or in between research masters / PhD. - The ability to explain how your approach fits the problem, rather than relying on theory alone. Perks of the job: - Bonus scheme designed to reward high performance - Private medical insurance with Vitality, mental health support with Oliva - Personal learning budget and 2 dedicated L&D days a year - Monthly flexible benefits budget to spend as you choose - 25 days holiday plus bank holidays - 4 weeks Work From Anywhere per year ## Skills ### Required - mathematics - statistics - machine learning - data science - quantitative methods --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/marshmallow/99c302d4-2772-4e23-bc03-55bfea905f66?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)