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Arthur Recruitment

Pricing Data Scientist (Remote)

London
£70k – £90k/yr
Posted about 16 hours ago
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Job Description

I am working with an emerging Insurtech looking for a technical Pricing/data science professional. Seeking a proactive individual with a passion for data to join a small, high-performing team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python.

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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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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Strong

Only hits

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

My client has an office based in London; however, this role can be fully remote.

Required Skills

  • Proactive self-starter with a can-do attitude — essential for thriving in a small team environment where initiative and independent working are key.

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  • Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g., machine learning, Python) within a pricing context is highly desirable.

  • 3 to 8 years of experience within personal lines insurance is required.

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Skills

Data Science
Pricing
Machine Learning
Python
Emblem GLM
Retail Pricing

Location

London, England, United Kingdom

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