Data Scientist (Pricing)

JR United Kingdom; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Une entreprise Insurtech en pleine croissance recherche un Data Scientist spécialisé en tarification pour intégrer une équipe dynamique à Londres. Vous serez chargé de développer des modèles prédictifs dans une suite de tarification de détail, avec une possibilité de travail principalement à distance, contribuant directement aux performances commerciales et à l'expérience client.

Qualifications

• 1-2 ans d'expérience comme analyste dans des secteurs rapides comme l'assurance et les services financiers.
• Degré numéraire solide favorisé, expérience pertinente éventuellement acceptée.
• Compétences en Python et bibliothèques de science des données requises.

Responsibilities

• Construire et maintenir des modèles prédictifs pour l'expérience client.
• Collaboration avec le Senior Pricing Analyst pour des insights commerciaux.
• Utiliser SQL et Python pour la manipulation de données et le réglage des prix.

Skills

Data manipulation

Statistical modeling

Data visualization

Education

Degree in Data Science, Mathematics, Physics, Engineering

Tools

Python

SQL

Excel

PowerBI

Tableau

Job description

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Data Scientist (Pricing), london (city of london)

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Client:

Arthur Recruitment

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

I am working with a growing Insurtech, who are seeking a Data Scientist within their pricing team - this is a growth hire, joining a team of 3.

My client has an office in London however, are open to making this role largely remote depending on candidate preference.

Responsibilities:

• Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience.
• Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide actionable insights for improving commercial performance.
• Use SQL and Python for data processing, analysis, and price setting, leveraging millions of quotes to drive incremental revenue through retail pricing actions.
• Work closely with software developers to adapt and optimize pricing tools based on identified opportunities, with results visible within days.

Requirements:

• 1-2 years of experience as an analyst in Insurance, Financial Services, Retail, Travel, or other fast-paced industries.
• Strong numerate degree (e.g., Data Science, Mathematics, Physics, Engineering), though other disciplines will be considered with relevant experience.
• Proficient in Python and its data science libraries for data manipulation, visualization, and statistical modeling.
• Strong data manipulation and reporting skills in SQL and Excel; familiarity with PowerBI or Tableau is a bonus.