Pricing Manager (Data Scientist) - Remote

JR United Kingdom; London; Remote; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Technical Pricing Manager to lead the development of innovative pricing solutions through advanced statistical risk models. This remote role offers the opportunity to leverage data science techniques, enhancing model sophistication to drive profitable business growth. Collaborating with stakeholders, you will conduct analyses and communicate findings effectively, making a significant impact on pricing strategies. Join a dynamic team dedicated to excellence in the personal lines insurance sector and contribute to shaping the future of pricing models.

Qualifications

• Proficiency in data science techniques using Python or R.
• Strong understanding of pricing and underwriting principles.

Responsibilities

• Develop and refine complex actuarial models for pricing solutions.
• Produce reports and presentations to communicate insights.

Skills

Python

R

Statistical Analysis

Actuarial Modeling

Communication Skills

Tools

Willis Towers Watson (Emblem, Radar)

Job description

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Pricing Manager (Data Scientist) - Remote, London

Client: Arthur Recruitment

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 5

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description:

I am working with a leading Personal Lines Insurer who is seeking a Technical Pricing Manager. The successful candidate will be responsible for producing specialist statistical risk models across a range of products.

As a Technical Pricing Manager, you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable business growth.

Key Responsibilities:

• Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions
• Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges
• Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders

Requirements:

• Proficiency in data science techniques using Python or R
• Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable
• Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale
• Ability to oversee pricing model development and maintenance while evaluating the profitability and market positioning of new and existing product propositions
• Proven experience working collaboratively with teams and senior stakeholders, with excellent communication skills to present complex concepts clearly