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Arthur Recruitment

Pricing Manager (Data Scientist) - Remote

London
£75k – £95k/yr
Posted about 20 hours ago
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Technical Pricing Manager

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Requirements:

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  • 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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Skills

Data Science
Statistical Modeling
Python
R
Actuarial Modeling
Statistical Analysis
Pricing Strategy
Underwriting Principles
Emblem
Radar
Risk Modeling
Stakeholder Management
Data Analysis
Reporting
Product Proposition Evaluation

Location

London, England, United Kingdom

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