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Pricing Data Scientist (Remote)

JR United Kingdom

London

Remote

GBP 50,000 - 80,000

Full time

Today
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Job summary

An emerging Insurtech is seeking a technical Pricing/Data Science professional to join their dynamic team. This fully remote role offers the opportunity to leverage your expertise in pricing and data science to enhance an innovative in-house pricing system. With a focus on combining traditional models with advanced machine learning techniques, you will play a crucial role in driving business success. If you have a proactive mindset and a strong background in personal lines insurance, this is the perfect opportunity to make a significant impact in a forward-thinking environment.

Qualifications

  • Strong technical pricing background with experience in data science techniques.
  • 3 to 8 years of experience in personal lines insurance is required.

Responsibilities

  • Join a small, high-performing team to drive the business forward.
  • Utilize an in-house pricing system combining traditional models with machine learning.

Skills

Proactive self-starter
Technical pricing background
Experience with WTW Emblem
Machine learning
Python
Experience in personal lines insurance

Job description

Social network you want to login/join with:

Pricing Data Scientist (Remote), London (City of London)

Client:

Arthur Recruitment

Location:

London (City of London), United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Views:

4

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

I am working with an emerging Insurtech looking for a technical Pricing/Data Science professional. This role involves joining a small, high-performing team to drive the business forward, utilizing an in-house pricing system that combines traditional Emblem GLM models with machine learning models developed in Python.

The client has an office 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.
  • 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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