Pricing Data Scientist (Remote)

JR United Kingdom; Leeds; Remote; GBP 40,000 - 70,000; Full time

Job summary

An emerging Insurtech company is seeking a dynamic Pricing Data Scientist to join their innovative team. This fully remote role offers the opportunity to leverage your technical pricing expertise and data science skills, particularly in machine learning and Python. You will play a pivotal role in enhancing the company's in-house pricing system, which combines traditional models with advanced analytics. If you're a proactive self-starter with a passion for data and a desire to make a significant impact in a collaborative environment, this position is perfect for you. Join a forward-thinking organization that values initiative and independent work.

Qualifications

• 3 to 8 years of experience in personal lines insurance.
• Strong technical pricing skills with machine learning exposure.

Responsibilities

• Join a high-performing team to drive business forward.
• Utilize in-house pricing system with GLM and machine learning.

Skills

Proactive self-starter

Technical pricing background

Experience with WTW Emblem

Machine learning

Python

Personal lines insurance experience

Job description

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Pricing Data Scientist (Remote), Leeds, West Yorkshire

Client: Arthur Recruitment

Location: Leeds, West Yorkshire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

4

Posted:

28.04.2025

Expiry Date:

12.06.2025

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.

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.
• 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.