Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to analyse data and enhance pricing strategies using advanced models.
- Company: Be part of an innovative Insurtech that's transforming the insurance landscape.
- Benefits: Enjoy the flexibility of remote work and a collaborative team culture.
- Why this job: Make a real impact in a growing company while developing your data science skills.
- Qualifications: 3-8 years in personal lines insurance with a strong technical pricing background required.
- Other info: Experience with WTW Emblem and machine learning in pricing is highly desirable.
The predicted salary is between 48000 - 84000 £ per year.
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.
Pricing Data Scientist (Remote) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist (Remote)
✨Tip Number 1
Familiarise yourself with WTW Emblem and other pricing models. Since the role requires a strong technical pricing background, demonstrating your knowledge of these systems during any discussions can set you apart from other candidates.
✨Tip Number 2
Showcase your experience with machine learning and Python in practical scenarios. Be ready to discuss specific projects where you've applied these skills, as this will highlight your ability to contribute effectively to the team.
✨Tip Number 3
Emphasise your proactive nature and self-starter attitude. Prepare examples of how you've taken initiative in previous roles, especially in small teams, to demonstrate that you can thrive in their dynamic environment.
✨Tip Number 4
Network with professionals in the Insurtech space. Engaging with industry peers can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
We think you need these skills to ace Pricing Data Scientist (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in pricing and data science, particularly any work with WTW Emblem or machine learning. Use specific examples to demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives your work. Mention your proactive nature and provide examples of how you've taken initiative in previous roles, especially in small team settings.
Showcase Relevant Experience: Clearly outline your 3 to 8 years of experience in personal lines insurance. Highlight any specific projects or roles where you applied data science techniques or worked on pricing strategies.
Demonstrate Technical Skills: If you have experience with Python or other data science tools, be sure to mention this in your application. Consider including a brief section on technical skills in your CV to make it easy for the hiring team to see your qualifications.
How to prepare for a job interview at Arthur Recruitment
✨Show Your Proactive Side
Emphasise your ability to take initiative and work independently. Share examples from your past experiences where you identified a problem and took the lead in solving it, especially in a team setting.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with pricing models, particularly WTW Emblem. Highlight any relevant projects where you've applied machine learning techniques or Python in a pricing context.
✨Know the Insurtech Landscape
Research the company and the insurtech industry. Understanding current trends and challenges will show your passion for the field and help you engage in meaningful discussions during the interview.
✨Prepare Questions
Have insightful questions ready about the company's pricing strategies and data science applications. This not only shows your interest but also helps you assess if the role aligns with your career goals.
