Arthur Recruitment
Pricing Manager (Data Scientist) - Remote

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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
Why you're a good match
StrongYour 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.
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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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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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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