Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support the development of climate analytics for insurance using geospatial data.
- Company: BirdsEyeView is an innovative InsurTech firm revolutionising natural catastrophe modelling in London.
- Benefits: Enjoy competitive salary, health insurance, pension scheme, and 26 days holiday plus remote work options.
- Why this job: Join a dynamic team impacting climate risk assessment while growing your skills in tech and insurance.
- Qualifications: Bachelor's degree in a quantitative field; 2-4 years experience depending on level; strong Python skills required.
- Other info: On-site role with a minimum of 4 days in the office; apply even if you don't meet all criteria.
The predicted salary is between 43200 - 72000 £ per year.
BirdsEyeView is an InsurTech venture based in London. BirdsEyeView builds Natural Catastrophe Modelling software for reinsurance and insurers globally. The software enables specialty insurers to model future floods, wildfires, tropical cyclones, and more. The BirdsEyeView technology ecosystem includes a massive climate data infrastructure, scalable product development, and machine learning data cleansing and ingestion. By combining all these factors, BirdsEyeView helps underwriters assess their exposures to growing climate-change-induced natural catastrophes.
You’ll be tasked with supporting the continued development of Natural Peril development and integration for BirdsEyeView’s cloud-based WEATHER ANALYTIX™ platform. WEATHER ANALYTIX™ provides our insurance partners with cutting edge climate and weather analytics models, helping them assess their exposure to natural catastrophes and improve their underwriting performance. You’ll be joining a small team of scientists, software developers and insurance experts and will have a unique opportunity to impact many levels of the firm, such as business applications and product development. This is an ideal position for someone interested in working with large climate and geospatial data, building new technologies, while taking a deep dive into the insurance industry. The role will present great opportunities for growth and you will play an important role in other areas of the business.
Key Responsibilities:
- Support the strategy and its implementation for the WEATHER ANALYTIXâ„¢ platform - on time and to budget.
- Process new meteorological datasets through our partnership with the European Space Agency.
- Be involved with incorporating and creating global Wildfire, Hurricane, Tornado, Lightning, Earthquake and Flood models.
- Work closely with the Business Development teams to define and help deliver new products and enhancements.
- Identify, compare, select and implement technology solutions to meet current and future needs.
Minimum Requirements:
- Bachelor's degree in Computer Science, Statistics, Physics or a related quantitative field. Master’s degree preferred.
- 4+ years experience for Mid/Snr role and 2+ years experience for Jnr/Mid role.
- Strong proficiency in Python for data manipulation and machine learning.
- Experience working with large and complex geospatial datasets.
- Knowledge of statistical and data science modelling techniques.
- Understanding of web systems architecture, design, and development.
- Ability to work autonomously with excellent time, budget, and project management skills.
- A hands-on, can-do attitude with the ability to collaborate effectively in a dynamic team environment.
Nice to Have:
- Experience working with JIRA, Confluence, GitLab, AWS.
- Experience working with ERA5/Climate Data.
- Experience working with MLOps.
- Knowledge of Insurance Market.
Compensation:
- Competitive salary and performance-based incentives.
- Health Insurance & Pension Scheme.
- Share option package.
- 26 days per year holiday.
- 7 Days Work from Abroad Policy.
Office Location: City of London
Vacant Positions: 2
- 1 Junior/Mid - 2+ years of experience
- 1 Mid Senior - 4+ years of experience
NB: This role is on-site with applicants expected in office minimum 4 days/week. We encourage you to apply even if you don’t strictly meet all mandatory criteria listed above. If you’re interested in applying, then please email your CV & Cover Letter to: careers@birdseyeview.ai
Geospatial Data Scientist (Mid/Snr) employer: BirdsEyeView
Contact Detail:
BirdsEyeView Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Scientist (Mid/Snr)
✨Tip Number 1
Familiarise yourself with the latest trends in geospatial data science and climate analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the InsurTech and geospatial data fields. Attend relevant meetups or webinars to connect with people who might provide insights or even referrals for the position at BirdsEyeView.
✨Tip Number 3
Showcase your experience with large datasets and machine learning projects in your discussions. Be prepared to discuss specific challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Research BirdsEyeView's current products and technologies, especially the WEATHER ANALYTIXâ„¢ platform. Understanding their offerings will allow you to tailor your conversations and show genuine interest in contributing to their mission.
We think you need these skills to ace Geospatial Data Scientist (Mid/Snr)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in geospatial data science, Python proficiency, and any work with large datasets. Use keywords from the job description to align your skills with what BirdsEyeView is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for climate data and the insurance industry. Mention specific projects or experiences that demonstrate your ability to support the WEATHER ANALYTIXâ„¢ platform and how you can contribute to the team.
Showcase Relevant Projects: If you have worked on projects involving meteorological datasets or machine learning models, be sure to include these in your application. Highlight your role and the impact of your contributions to showcase your expertise.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at BirdsEyeView
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any experience you have with geospatial datasets. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Insurance Industry
Familiarise yourself with the basics of the insurance market and how natural catastrophes impact underwriting. This knowledge will help you connect your technical expertise to the business applications at BirdsEyeView, showing that you understand the bigger picture.
✨Prepare for Team Collaboration Questions
Since you'll be working closely with a small team, be ready to discuss your experiences in collaborative environments. Share examples of how you've successfully worked with others to achieve project goals, especially in dynamic settings.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss challenges you've faced in previous roles and how you overcame them. This could include technical problems or project management issues. Showing your problem-solving mindset will resonate well with the interviewers.
