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- Tasks: Unlock underwriting potential and drive risk selection through data analysis and model development.
- Company: Specialist risk manager in the heart of London.
- Benefits: Competitive salary, bonus, and flexible work options on Fridays.
- Why this job: Make a real impact in risk analytics with cutting-edge AI and data tools.
- Qualifications: Strong SQL and Python skills; insurance or risk analytics experience preferred.
- Other info: Autonomous role with great potential for career growth.
The predicted salary is between 60000 - 85000 £ per year.
Location: London EC4
Compensation: £75K - £85K + Bonus + Benefits
Newly created position within a specialist risk manager. We’re looking for a Senior Data Scientist / Data Analyst who can help unlock underwriting potential and drive competitive advantage in risk selection.
The role will involve:
- Building exposure datasets
- Developing analytical models & dashboard (Power BI)
- 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’s driven to find value within data. Strong SQL and Python skills are fundamental; there is no scope to learn on the job.
From an industry perspective, we’d be interested in someone with an insurance/reinsurance background, or with knowledge of cat modelling, risk analytics or geospatial analytics.
You have to be a team player, have the ability to communicate effectively across the business and be easy to work with.
Base salary is £75K - £85K + Bonus (15%) + Benefits with a tonne of potential to build upon this in the medium to long-term. Mainly based in office with some flexibility to work from home on a Friday. Location is EC4.
VISA Sponsorship is not available.
Senior Data Scientist in City of London employer: Highbury Consulting
Contact Detail:
Highbury Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in risk analytics or data science. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any related to insurance or risk analytics. This will help us see your practical experience and how you can add value to our team.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of cat modelling and geospatial analytics. We want to see that you're not just a data whiz but also understand the nuances of the industry.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team and making an impact in risk selection.
We think you need these skills to ace Senior Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with SQL, Python, and any relevant projects in risk analytics or insurance. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've driven value from data in previous positions. We love a good story!
Showcase Your Projects: If you've worked on any analytical models or dashboards, make sure to mention them. We’re keen to see your hands-on experience, especially with Power BI and AI integrations. Don’t be shy about sharing your successes!
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, we love seeing applications come through our own channels!
How to prepare for a job interview at Highbury Consulting
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in building datasets or analytical models. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Industry Knowledge
Since they’re looking for someone with an insurance or reinsurance background, be prepared to talk about relevant experiences. If you have insights into cat modelling or risk analytics, share examples of how you've applied this knowledge to drive results in previous roles.
✨Demonstrate Your Autonomy
This role requires a go-getter attitude, so come armed with examples of how you've worked independently to solve problems or drive projects forward. Highlight situations where you took the initiative and the impact it had on your team or organisation.
✨Communicate Effectively
As a Senior Data Scientist, you'll need to collaborate across teams. Practice explaining complex data concepts in simple terms. During the interview, focus on how you’ve successfully communicated findings to non-technical stakeholders in the past, showcasing your ability to be a team player.
