Junior Pricing Data Scientist

The role

You will work closely with pricing colleagues on analytical and data-driven projects. You will apply mathematical, statistical and machine learning techniques to practical pricing questions.

What you will do

• Working closely with pricing colleagues on scoped analytical and data-driven projects
• Applying mathematical, statistical and machine learning techniques to practical pricing questions
• Explaining findings clearly to colleagues from different areas of the business
• Following up on agreed actions
• Using feedback to improve work and build understanding of data science methods, coding best practice and the commercial context of insurance pricing

Required qualifications

• Strong academic record
• 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 studies, research, a personal project or work
• The ability to explain how your approach fits the problem, rather than relying on theory alone

Nice to have

• Industry experience - a placement, internship or experience whilst studying, or in between research masters / PhD

Benefits

• Bonus scheme designed to reward high performance
• Private medical insurance with Vitality
• Mental health support with Oliva
• Personal learning budget
• 2 dedicated L&D days a year
• Monthly flexible benefits budget
• 25 days holiday plus bank holidays
• 4 weeks Work From Anywhere per year

Before you apply

• We are not able to offer visa sponsorship for this position
• Initial call with a member from our Talent Team (30 mins)
• Combined Past Experience & Technical interview (90 mins)
• Onsite Culture interviews (90 mins)

About the company

Marshmallow has grown from 3 to 700+ people since 2017 and has gained unicorn status. Their goal is to become one of the largest financial services providers in the world.