Data Scientist (Pricing)

JR United Kingdom; Slough; Remote; GBP 40,000 - 60,000; Full time

Job summary

Une entreprise Insurtech en pleine croissance recherch_accessibilise un Data Scientist pour rejoindre son équipe de tarification. Ce rôle, qui peut être principalement remote, se concentre sur la construction de modèles prédictifs, l'analyse de données et la collaboration avec des parties prenantes clés pour optimiser les performances commerciales.

Qualifications

• 1-2 ans d'expérience en tant qu'analyste dans des secteurs rapides comme l'assurance.
• Diplôme solide en Data Science, Mathématiques, Physique ou Ingénierie.
• Compétences en Python et SQL requises.

Responsibilities

• Construire et maintenir des modèles prédictifs pour l'équipe de tarification.
• Collaborer avec des analystes pour implémenter des changements de sélection de prix.
• Utiliser SQL et Python pour traiter et analyser des données.

Skills

Data manipulation

Data visualization

Statistical modeling

Problem solving

Education

Data Science degree

Mathematics degree

Physics degree

Engineering degree

Tools

Python

SQL

Excel

PowerBI

Tableau

Job description

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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.