Remote Pricing Data Scientist — Build in-house Python Engine

Gravitas Recruitment Group (Global) Ltd; Greater London; Hybrid; GBP 54,000 - 66,000; Full time

Benefits offered by this job

Private medical insurance and pension

Dedicated training and development

Actuarial qualification support

Job summary

Gravitas Recruitment Group (Global) Ltd is seeking a Pricing Data Scientist to build foundational pricing capability for a technology-led insurer. You will design core pricing infrastructure, develop a Python-based rating engine, and shape analytical strategy from an early stage.

The role combines data science, pricing analytics, and software engineering to deliver scalable solutions that influence commercial outcomes, with remote work predominating and occasional travel to London.

Qualifications

• Proven experience delivering pricing analyses and modelling in personal lines insurance.
• Strong Python development skills with production experience.
• Solid understanding of statistical modelling and data science principles.
• Knowledge of model deployment, MLOps, or production analytics.
• Familiarity with rating engines or pricing systems.

Responsibilities

• Build and enhance pricing data assets and analytical foundations.
• Design, develop, and maintain an in-house Python-based rating engine.
• Develop pricing models and analytical frameworks.
• Create new rating factors and conduct research and experimentation.
• Collaborate with technology, data, and business stakeholders.
• Establish best practices for pricing analytics and model deployment.

Skills

Python development

Pricing analytics

Data science principles

Model deployment

Stakeholder comms

Tools

Python

MLOps

SQL

Job description

Gravitas Recruitment Group (Global) Ltd is seeking a Pricing Data Scientist to build foundational pricing capability for a technology-led insurer. You will design core pricing infrastructure, develop a Python-based rating engine, and shape analytical strategy from an early stage.

The role combines data science, pricing analytics, and software engineering to deliver scalable solutions that influence commercial outcomes, with remote work predominating and occasional travel to London.