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Pricing Manager (Data Scientist) - Remote

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London

Remote

GBP 60,000 - 90,000

Full time

Today
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Job summary

An established industry player is seeking a Technical Pricing Manager to drive strategic change and enhance model sophistication. This role involves developing complex actuarial models to deliver innovative pricing solutions and conducting statistical analyses to address diverse challenges. You will collaborate with teams and senior stakeholders to present complex concepts clearly, ensuring profitable business growth. If you are passionate about leveraging data science techniques and have a strong understanding of pricing and underwriting principles, this opportunity is perfect for you.

Qualifications

  • Proficiency in data science techniques using Python or R.
  • Expertise in statistical analysis software, preferably Willis Towers Watson.

Responsibilities

  • Develop and refine complex actuarial models for innovative pricing solutions.
  • Conduct ad-hoc actuarial analyses and communicate insights effectively.

Skills

Python
R
Statistical Analysis
Data Science Techniques
Communication Skills

Tools

Willis Towers Watson (Emblem, Radar)

Job description

Job Description

I am working with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of 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
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