Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects and apply machine learning to tackle insurance challenges.
- Company: A top international insurer based in Greater London.
- Benefits: 30 days holiday, flexible working, and private medical insurance.
- Why this job: Make a real impact in the insurance industry while mentoring others.
- Qualifications: Experience in commercial insurance and proficiency in Python required.
- Other info: Hybrid work model with opportunities for career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading international insurer in Greater London is seeking a Senior Data Scientist to apply data science and machine learning to insurance challenges. This role will involve leading analytical projects, mentoring junior staff, and presenting insights to diverse audiences.
The ideal candidate should have:
- Experience in commercial insurance
- Proficiency in Python
- Excellent communication skills
Benefits include:
- 30 days of holiday
- Flexible working options
- Comprehensive private medical insurance
Senior Data Scientist - Pricing & AI Leader (Hybrid UK) in London employer: QBE
Contact Detail:
QBE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Pricing & AI Leader (Hybrid UK) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data science fields. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in machine learning. We recommend practising common interview questions and presenting your past projects confidently.
✨Tip Number 3
Don’t underestimate the power of storytelling! When discussing your analytical projects, focus on the impact of your work and how it solved real-world problems in the insurance sector.
✨Tip Number 4
Apply through our website for a smoother process! It’s a great way to ensure your application gets noticed, and you can easily track your progress. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Scientist - Pricing & AI Leader (Hybrid UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning, especially in the context of commercial insurance. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. Remember, we love seeing personality, so let your enthusiasm for data science come through.
Showcase Your Communication Skills: Since this role involves presenting insights to diverse audiences, make sure to highlight any experience you have in communicating complex data findings clearly. We appreciate candidates who can bridge the gap between technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at QBE
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning concepts, especially as they relate to the insurance industry. Be ready to discuss specific projects you've worked on, particularly those that involved Python, and how you applied your skills to solve real-world problems.
✨Show Off Your Leadership Skills
Since this role involves mentoring junior staff, be prepared to share examples of how you've led teams or projects in the past. Highlight your experience in guiding others and how you’ve contributed to their professional growth.
✨Communicate Clearly and Confidently
You’ll need to present insights to diverse audiences, so practice explaining complex data findings in simple terms. Use examples from your previous work to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science in insurance. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Think about what challenges they might face and how you could help tackle them.
