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- Tasks: Lead data science projects and apply machine learning to tackle insurance challenges.
- Company: A top international insurer based in Greater London with a focus on innovation.
- Benefits: 30 days holiday, flexible working, and comprehensive private medical insurance.
- Why this job: Make a real impact in the insurance industry while mentoring future talent.
- Qualifications: Experience in commercial insurance, Python proficiency, and strong communication skills.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 43200 - 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) 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)
✨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 want you to be ready to discuss how you can tackle real-world insurance challenges with your knowledge.
✨Tip Number 3
Don’t underestimate the power of storytelling! When presenting your insights, make sure to communicate your findings in a way that resonates with your audience. We all love a good story, especially when it’s backed by data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are passionate about data science and insurance.
We think you need these skills to ace Senior Data Scientist - Pricing & AI Leader (Hybrid UK)
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. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen on joining 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, as this will show your technical prowess.
✨Showcase 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 approach problem-solving in a collaborative environment.
✨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 roles to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Research the Company and Its Challenges
Take some time to understand the specific challenges faced by the insurance industry, especially in pricing and AI. This knowledge will not only help you answer questions more effectively but also allow you to ask insightful questions that show your genuine interest in the role.
