Junior Pricing Data Scientist

Marshmallow

. Work closely with pricing colleagues on scoped analytical and data-driven projects .

Posted 11/2/2026full-timeLondon • United KingdomJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applying mathematical, statistical, and machine learning techniques to inform pricing decisions, while effectively communicating findings to diverse stakeholders. Possesses a strong academic background in quantitative fields and the ability to work independently on analytical projects.

Highest-signal resume keywords

Mathematical TechniquesStatistical AnalysisMachine LearningQuantitative MethodsEffective Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MathematicsStatisticsMachine Learning TechniquesData AnalysisQuantitative Research

Soft Skills

Clear CommunicationFeedback UtilizationOwnership of WorkIndependenceCollaboration

Industry Keywords

Insurance PricingData Science MethodsAnalytical ProjectsResearch Master'sPhD

About the role

Key responsibilities & impact

Work closely with pricing colleagues on scoped analytical and data-driven projects
Take on increasing responsibility as experience develops
Apply mathematical, statistical and machine learning techniques to practical pricing questions
Connect analysis to the business decision it needs to inform
Explain findings clearly to colleagues from different areas of the business
Keep colleagues updated on progress and follow up on agreed actions
Use feedback to improve work and build understanding of data science methods, coding best practice and the commercial context of insurance pricing
Develop practical judgement and independence to take on and eventually lead increasingly substantial work

Requirements

What you’ll need

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 studies, research, a personal project or work
Industry experience is preferred, including a placement, internship or experience whilst studying or between research master's / PhD
Ability to explain how your approach fits the problem, rather than relying on theory alone
Willingness to learn, seek feedback and build towards working independently
Ability to communicate rationale and findings clearly and keep colleagues informed
Ability to follow through on agreed actions and take ownership of work
No visa sponsorship is available for this position

Benefits

Comp & perks

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