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- Tasks: Build datasets and develop analytical models to enhance risk selection.
- Company: Specialist risk management firm based in London.
- Benefits: Competitive salary, bonus, flexible working on Fridays, and additional benefits.
- Why this job: Join a dynamic team and make an impact in risk analytics with AI-driven solutions.
- 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to people in the risk analytics field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially those related to insurance or risk analytics. This will give you an edge and demonstrate your hands-on experience.
✨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 role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Data Scientist, Risk Analytics — AI-Driven Underwriting in City of 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've used these tools in real-world scenarios, especially if you have experience in insurance or risk analytics.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to risk selection and analytical models.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and enthusiasm for the role.
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 track your application and get back to you quickly!
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 ready to discuss how you've used these tools in past projects, especially in relation to risk analytics or insurance. Having specific examples will show your expertise and make you stand out.
✨Understand the Company
Research the specialist risk management firm thoroughly. Understand their approach to risk selection and any recent developments in their business. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and analytics. Practice explaining complex concepts in simple terms, as this shows your ability to communicate effectively. You might even want to prepare a mini-case study to showcase your analytical thinking.
✨Show Your Growth Mindset
Since the role offers potential for growth, be prepared to discuss your career aspirations and how you plan to develop your skills further. Highlight any relevant courses or certifications you’re considering, and express your enthusiasm for continuous learning in the field of data science.
