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 in London 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 a focus on innovation and the use of cutting-edge tools like Python and Databricks, this role offers a unique chance to make a significant impact in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist - Python in London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to pricing models or data handling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with GLMs and any innovative techniques you've used. Practice explaining complex concepts in simple terms to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our innovative team.
We think you need these skills to ace Pricing Data Scientist - Python in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python experience in your application. We want to see how you've used Python for modelling and data handling, so don’t hold back on those details!
Tailor Your Experience:When you’re writing your application, focus on your GI pricing experience, especially in personal lines. We’re looking for candidates who can demonstrate their understanding of this area, so make it relevant!
Be Collaborative:Since this role involves interaction with wider stakeholders, let us know about your collaborative experiences. Share examples where you’ve worked with others to achieve a common goal — it’ll show us you’re a team player!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
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 for pricing models or data analysis, as this will show your practical experience.
✨Familiarise Yourself with Innovative Techniques
Since the company is looking for someone who can innovate beyond traditional GLMs, take some time to research and understand new techniques and tools like Databricks. Being able to discuss how you've applied or could apply these methods will set you apart.
✨Prepare for Technical Questions
Expect technical questions related to risk modelling and profitability analytics. Review your past work and be prepared to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills.
✨Engage with Stakeholders
Since there may be interaction with wider stakeholders, think about how you can communicate complex modelling concepts to non-technical audiences. Prepare examples of how you've successfully collaborated with other teams in the past, as this shows your collaborative spirit.
