Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build datasets and develop analytical models to enhance risk selection.
- Company: Specialist risk management firm in London with a focus on innovation.
- Benefits: Competitive salary, bonuses, flexible working on Fridays, and additional benefits.
- Why this job: Join a dynamic team and make an impact in AI-driven underwriting.
- Qualifications: Strong Python and SQL skills; experience in insurance or risk analytics preferred.
- Other info: Office-based role with excellent growth opportunities.
The predicted salary is between 70000 - 80000 £ per year.
A specialist risk management firm in London is seeking a motivated Data Scientist to enhance risk selection through building datasets and developing analytical models.
Ideal candidates will have strong Python and SQL skills, preferably with experience in insurance or risk analytics.
The role offers a competitive salary of £70K - £80K, plus bonus and benefits, with the opportunity for flexible working on Fridays. This position is office-based with additional potential for growth.
Data Scientist, Risk Analytics — AI-Driven Underwriting 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 — AI-Driven Underwriting in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially those related to risk analytics. 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 common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist, Risk Analytics — AI-Driven Underwriting in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you can use these tools to tackle risk analytics, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention any relevant experience in insurance or risk analytics, as it’ll help us see why you’re the perfect fit for our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your passion for data science shines through!
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 our team!
How to prepare for a job interview at Highbury Consulting
✨Know Your Data
Make sure you brush up on your Python and SQL skills before the interview. Be prepared to discuss how you've used these tools in past projects, especially in relation to risk analytics or insurance. Having specific examples ready will show your expertise and confidence.
✨Understand the Company
Research the firm’s approach to risk management and their use of AI in underwriting. Familiarise yourself with their recent projects or innovations. This will not only help you answer questions but also allow you to ask insightful ones, demonstrating your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions that assess your analytical thinking and problem-solving skills. Practice explaining your thought process clearly and concisely. You might be asked to solve a case study or analyse a dataset, so be ready to showcase your analytical prowess.
✨Show Your Growth Mindset
Highlight your willingness to learn and adapt, especially in a fast-evolving field like data science. Share examples of how you've tackled challenges or learned new skills in previous roles. This will resonate well with the company’s focus on growth and innovation.
