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- Tasks: Unlock underwriting potential and drive competitive advantage through data analysis and AI integration.
- Company: Specialist risk manager with a focus on innovation and teamwork.
- Benefits: Competitive salary, bonus, flexible work options, and growth opportunities.
- Why this job: Make a real impact in risk analytics while working with cutting-edge technology.
- Qualifications: Strong Python and SQL skills; experience in insurance or risk analytics preferred.
- Other info: Dynamic team environment with excellent career progression potential.
The predicted salary is between 60000 - 84000 £ per year.
Newly created position within a specialist risk manager. We are looking for a Data Scientist who can help unlock underwriting potential and drive competitive advantage in risk selection. The role will involve building exposure datasets, developing analytical models, and integrating advanced AI/LLMs to support decision-making across the business.
We want someone who is a go-getter, who can work with autonomy and who is driven to find value within data. Tech wise we expect you to have a strong grasp of Python and SQL. From an industry perspective, ideally Insurance/Reinsurance, or knowledge of Cat Modelling, risk analytics or geospatial analytics.
Fundamentally though you have to be a team player, have the ability to communicate effectively across the business and be easy to work with.
Base is £70K - £80K + Bonus (15%) + Benefits with a tonne of potential to build upon this in the medium to long-term. Mainly based in office with flexibility to work from home on a Friday. Location is EC4.
Data Scientist – Risk Analytics in London employer: Highbury Consulting
Contact Detail:
Highbury Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Risk Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and risk analytics space. Use LinkedIn to connect with current employees at the company you're eyeing. A friendly chat can sometimes open doors that applications can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or case studies, bring them along to interviews. Demonstrating your Python and SQL prowess with real examples can really set you apart from the crowd.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of cat modelling and geospatial analytics. Being able to discuss these topics confidently will show you’re not just a data whiz but also understand the industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Scientist – Risk Analytics in London
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in risk analytics or related fields.
Be a Go-Getter: We love candidates who take initiative! In your application, share examples of how you've worked autonomously to solve problems or drive projects forward. Show us your proactive side!
Communicate Clearly: Since you'll be working across the business, it's crucial to demonstrate your communication skills. Use clear and concise language in your application to show that you can convey complex ideas effectively.
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 from us!
How to prepare for a job interview at Highbury Consulting
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to risk analytics. Brush up on your experience with exposure datasets and analytical models, as you’ll want to showcase how you can unlock underwriting potential using data.
✨Showcase Your Technical Skills
Since a strong grasp of Python and SQL is essential, be prepared to discuss specific projects where you’ve used these languages. Maybe even bring along a portfolio or examples of your work that demonstrate your coding prowess and analytical capabilities.
✨Communicate Like a Pro
As a team player, you’ll need to communicate effectively across the business. Practice explaining complex concepts in simple terms, so you can show that you can bridge the gap between technical and non-technical stakeholders.
✨Demonstrate Your Go-Getter Attitude
This role requires someone who can work autonomously and drive value from data. Prepare examples of times when you took initiative or solved problems independently, highlighting your proactive approach to challenges.
