Pricing Manager (Data Scientist) - Remote

JR United Kingdom; Bury; Remote; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Technical Pricing Manager to enhance model sophistication and leverage data science techniques for profitable growth. This remote role involves developing complex actuarial models, conducting statistical analyses, and producing insightful reports. Ideal candidates will have experience in data science using Python or R, with a strong grasp of pricing principles. Join a dynamic team and contribute to strategic changes that drive business success in the personal lines insurance sector. If you are passionate about data-driven decision-making and thrive in collaborative environments, this opportunity is perfect for you.

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 innovative pricing solutions.
• Conduct ad-hoc actuarial analyses collaborating with stakeholders.

Skills

Data Science Techniques

Statistical Analysis

Communication Skills

Actuarial Modeling

Python

R

Tools

Willis Towers Watson (Emblem, Radar)

Job description

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Pricing Manager (Data Scientist) - Remote, bury

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Client:

Arthur Recruitment

Location:

bury, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

05.05.2025

Expiry Date:

19.06.2025

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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 various products.

As a Technical Pricing Manager, you will 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 innovative pricing solutions
• Conduct ad-hoc actuarial and statistical analyses, collaborating with stakeholders to address diverse challenges
• Produce reports, documentation, and presentations to communicate models and insights effectively

Requirements:

• Proficiency in data science techniques using Python or R
• Experience with statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) preferred
• Strong understanding of pricing and underwriting principles, ideally within personal or commercial lines at a large scale
• Ability to oversee model development, evaluate profitability, and market positioning of products
• Proven experience working with teams and senior stakeholders, with excellent communication skills