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- Tasks: Build and test predictive models using Python and Databricks.
- Company: Join a rapidly growing insurance business with a strong reputation in specialist motor insurance.
- Benefits: Enjoy true ownership, flexible structure, and a collaborative, non-hierarchical team culture.
- Why this job: Make impactful decisions that drive business growth while working on diverse products.
- Qualifications: 2–8 years in general insurance pricing, strong Python skills, and a STEM background required.
- Other info: Experience a fast-paced environment with opportunities to shape your role.
The predicted salary is between 36000 - 60000 £ per year.
I’m working with a rapidly growing insurance business that’s looking to hire a Modelling Specialist / Pricing Data Scientist to help elevate their technical pricing capability. This is a high-impact hire within a collaborative team that values innovation and fast decision-making.
The company has a strong reputation in specialist motor insurance and is investing heavily in modernising its pricing approach across multiple product lines.
You’ll play a key role in:
Building and testing predictive models using Python and Databricks
Exploring and integrating external data enrichments
Contributing to model validation and peer code reviews
Supporting pricing decisions that directly impact business growth and profitability
Ideal candidate
2–8 years of experience in general insurance pricing (personal lines preferred)
Strong Python skills for modelling, data manipulation, and code quality
Experience with GLMs, machine learning techniques, and feature engineering
Sharp analytical thinker, highly collaborative and commercially minded
Strong academic background in a STEM discipline
What Makes This Unique
True ownership and autonomy — influence business-critical decisions
Diverse range of products and high exposure to multiple lines
Flexible structure with opportunities to shape your role
Flat, non-hierarchical team with a pacey, “can-do” culture
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Data Scientist/ Technical Pricing employer: Arthur
Contact Detail:
Arthur Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist/ Technical Pricing
✨Tip Number 1
Familiarise yourself with the latest trends in predictive modelling and technical pricing within the insurance sector. This will not only help you understand the company's needs but also allow you to speak confidently about how your skills can contribute to their innovative approach.
✨Tip Number 2
Network with professionals in the insurance and data science fields, especially those who have experience in pricing roles. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully built and tested predictive models using Python. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your collaborative spirit by highlighting experiences where you've worked in teams to achieve common goals. Since the role values collaboration, sharing examples of successful teamwork can set you apart from other candidates.
We think you need these skills to ace Data Scientist/ Technical Pricing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in general insurance pricing, particularly in personal lines. Emphasise your strong Python skills and any relevant projects involving predictive modelling or data manipulation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your analytical thinking and collaborative nature, as well as your familiarity with GLMs and machine learning techniques.
Showcase Relevant Projects: If you have worked on projects using Databricks or have experience with feature engineering, be sure to include these in your application. Provide brief descriptions of your contributions and the impact they had on previous employers.
Highlight Your Academic Background: Since a strong academic background in a STEM discipline is preferred, make sure to include your educational qualifications prominently. Mention any relevant coursework or projects that relate to data science and technical pricing.
How to prepare for a job interview at Arthur
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Databricks in detail. Bring examples of predictive models you've built, and be ready to explain your approach to data manipulation and code quality.
✨Demonstrate Your Analytical Thinking
Highlight your ability to think critically and analytically. Prepare to discuss specific instances where your analytical skills have led to successful pricing decisions or model validations.
✨Emphasise Collaboration
Since the company values a collaborative environment, be ready to share experiences where you worked effectively within a team. Discuss how you contributed to peer code reviews and supported colleagues in achieving common goals.
✨Understand the Business Impact
Research the company's approach to pricing and its impact on business growth. Be prepared to discuss how your role as a Modelling Specialist can influence critical decisions and contribute to profitability.
