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- Tasks: Support the development of climate analytics for insurance using geospatial data.
- Company: BirdsEyeView is a London-based InsurTech innovating in natural catastrophe modelling software.
- Benefits: Enjoy competitive salary, health insurance, pension scheme, and 26 days holiday.
- Why this job: Join a dynamic team impacting climate change solutions in the insurance industry.
- Qualifications: Bachelor's degree in a quantitative field; Python proficiency and experience with geospatial datasets 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 28800 - 48000 £ 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.
- 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.
- Experience working with JIRA, Confluence, GitLab, AWS.
- Experience working with ERA5/Climate Data.
- Experience working with MLOps.
- Knowledge of Insurance Market.
- 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
Important: This is an on-site role 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
Contact Detail:
BirdsEyeView Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Geospatial Data Scientist (Jnr/Mid)
✨Tip Number 1
Familiarise yourself with the specific technologies and tools mentioned in the job description, such as Python for data manipulation and machine learning. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the geospatial and insurance communities online. Join relevant forums, attend webinars, or participate in discussions on platforms like LinkedIn. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals.
✨Tip Number 3
Consider creating a portfolio that highlights your work with large geospatial datasets and any relevant modelling techniques you've employed. This tangible evidence of your capabilities can be a great conversation starter during interviews.
✨Tip Number 4
Research BirdsEyeView and their WEATHER ANALYTIXâ„¢ platform thoroughly. Understanding their products and how they integrate climate data into insurance solutions will allow you to tailor your discussions and demonstrate your genuine interest in the role during interviews.
We think you need these skills to ace Geospatial Data Scientist (Jnr/Mid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in geospatial data, Python programming, and any work with large datasets. Emphasise your educational background in Computer Science, Statistics, or related fields.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with BirdsEyeView's focus on climate data and insurance analytics.
Showcase Technical Skills: Clearly outline your proficiency in Python and any experience with tools like JIRA, Confluence, or AWS. If you have worked with climate data or machine learning, be sure to include those details.
Highlight Team Collaboration: Since the role involves working closely with a team, mention any past experiences where you successfully collaborated with others. This could include projects in academic settings or previous jobs.
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 skills 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 effectively communicated and worked with others to achieve common goals, especially in dynamic settings.
✨Ask Insightful Questions
Prepare thoughtful questions about the WEATHER ANALYTIXâ„¢ platform and the company's future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values and career aspirations.
