At a Glance
- Tasks: Build and test innovative pricing models using Python and advanced techniques.
- Company: Join a forward-thinking personal lines insurer with a focus on innovation.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team culture with exposure to various stakeholders and career advancement.
- Why this job: Make a real impact in risk modelling while exploring cutting-edge data techniques.
- Qualifications: Strong Python skills and experience in GI pricing, ideally in personal lines.
The predicted salary is between 50000 - 70000 £ per year.
I'm working with an innovative personal lines insurer — they’re hiring a Modelling Specialist / Pricing Data Scientist to help take their modelling capability to the next level. This is a high-impact role with a lot of flexibility and innovation — they’re actively testing new techniques and tooling beyond traditional GLMs, including Databricks, Python, and new feature engineering approaches.
Responsibilities:
- Building and testing new pricing models
- Trialling and integrating third-party data enrichments
- Reviewing peer code and strengthening internal model validation
- Some interaction with wider stakeholders (reserving, finance) depending on profile
Core focus is on risk modelling, but with exposure to profitability analytics.
Qualifications:
- Strong Python experience used in modelling, data handling, and coding reviews
- GI pricing experience (personal lines ideally)
- Strong academics, high-performing, ambitious, and collaborative
- 2–8 years’ experience — flexible depending on capability
Pricing Data Scientist - Python employer: Arthur
Join an innovative personal lines insurer that values flexibility and creativity in its work culture. As a Pricing Data Scientist, you'll have the opportunity to push the boundaries of traditional modelling techniques while collaborating with a high-performing team dedicated to your professional growth. With access to cutting-edge tools like Databricks and Python, this role not only offers meaningful challenges but also a supportive environment that fosters continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist - Python
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at innovative insurers. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got experience with Python and modelling, consider creating a portfolio of projects. Share it during interviews or even on LinkedIn to catch the eye of hiring managers.
✨Tip Number 3
Prepare for the technical side! Brush up on your coding skills and be ready to tackle some practical tests. Companies love seeing how you approach problems, so practice makes perfect!
✨Tip Number 4
Apply through our website! We make it super easy to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Pricing Data Scientist - Python
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python experience and any relevant GI pricing work you've done. We want to see how your skills match the role, so don’t be shy about showcasing your modelling capabilities!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this role and how you can contribute to our innovative approach. Be specific about your experience with new techniques and tools like Databricks.
Showcase Your Collaboration Skills:Since this role involves interaction with various stakeholders, let us know about your teamwork experiences. Share examples of how you've worked with others to achieve common goals in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Arthur
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of modelling and data handling. Be ready to discuss specific projects where you've used Python to build or test pricing models, as this will show your practical experience.
✨Familiarise Yourself with Pricing Models
Dive deep into different pricing models, particularly those used in personal lines insurance. Understand the nuances of GLMs and be prepared to discuss how you've applied or innovated beyond traditional methods in your previous roles.
✨Prepare for Technical Questions
Expect technical questions that may involve coding challenges or case studies related to pricing data science. Practise explaining your thought process clearly, as communication is key when discussing complex modelling techniques.
✨Engage with Stakeholders
Since the role involves interaction with various stakeholders, think about how you've collaborated with teams like reserving or finance in the past. Be ready to share examples of how you’ve communicated technical concepts to non-technical audiences.
