Pricing Data Scientist — Insurance Analytics(Hybrid London)

marshmallow; Greater London; Hybrid; GBP 55,000 - 85,000; Full time

Benefits offered by this job

Bonus scheme designed to reward high性能

Private medical insurance

Personal learning budget

2 dedicated L&D days a year

Monthly flexible benefits budget

25 days holiday

Work From Anywhere 4 weeks

Job summary

Marshmallow in London is seeking a quantitative pricing analyst to join the pricing team. You will apply mathematical and ML techniques to real insurance problems and translate results into business decisions.

Working with a senior pricing colleague, you will develop practical judgement and independence to take on increasingly substantial work and lead projects. London (hybrid, 3 days in office) and visa sponsorship not available for this role.

Qualifications

• Strong academic background in a quantitative field with applied ML exposure.
• Experience applying quantitative methods to real problems during studies or projects.
• Industry experience during placement, internship, or between study stages is preferred.
• Ability to explain your approach and findings clearly to non-technical colleagues.

Responsibilities

• Collaborate with pricing colleagues on data-driven projects, increasing responsibility over time.
• Apply mathematical, statistical and ML techniques to pricing questions and inform decisions.
• Explain findings clearly and keep stakeholders updated on progress and actions.
• Learn and improve data science methods, coding practices and commercial context of pricing.

Skills

Quantitative analysis

Machine learning

Data storytelling

Communication skills

Education

MSc or PhD in quantitative field

Job description

Marshmallow in London is seeking a quantitative pricing analyst to join the pricing team. You will apply mathematical and ML techniques to real insurance problems and translate results into business decisions.

Working with a senior pricing colleague, you will develop practical judgement and independence to take on increasingly substantial work and lead projects. London (hybrid, 3 days in office) and visa sponsorship not available for this role.