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- Tasks: Support the development of climate analytics for insurance using geospatial data.
- Company: Join BirdsEyeView, an innovative InsurTech firm revolutionising natural catastrophe modelling.
- Benefits: Enjoy competitive salary, health insurance, pension scheme, and 26 days holiday.
- Why this job: Make a real impact in climate science while collaborating with a dynamic team.
- Qualifications: Bachelor's degree in a quantitative field; Python proficiency and experience with geospatial datasets required.
- Other info: On-site role in London, with a minimum of 4 days in the office.
The predicted salary is between 36000 - 60000 £ 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.
About the role
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 ANLYTIX 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.
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
- 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:
Luxembourg Institute of Science and Technology (LIST)
#J-18808-Ljbffr
Geospatial Data Scientist (Jnr/Mid) employer: HM Revenue and Customs
Contact Detail:
HM Revenue and Customs 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 will make you stand out.
✨Tip Number 2
Network with professionals in the InsurTech and geospatial data fields. Attend relevant meetups or webinars to connect with people who work at BirdsEyeView or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your understanding of climate data and its applications in insurance during interviews. Prepare examples of how you've worked with large datasets or developed models that relate to natural catastrophes, as this will show your relevance to the role.
✨Tip Number 4
Research BirdsEyeView's current projects and their WEATHER ANALYTIX platform. Being able to discuss their technology and how you can contribute to their goals will show your genuine interest in the company and the position.
We think you need these skills to ace Geospatial Data Scientist (Jnr/Mid)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Geospatial Data Scientist position at BirdsEyeView. Familiarise yourself with their WEATHER ANALYTIX platform and the types of climate data they work with.
Tailor Your CV: Customise your CV to highlight relevant experience in Python, geospatial datasets, and any statistical modelling techniques you've used. Emphasise your ability to work autonomously and manage projects effectively, as these are key skills for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the insurance industry and your interest in climate data. Mention specific projects or experiences that align with the job description, particularly those involving machine learning and data manipulation.
Showcase Your Technical Skills: In your application, be sure to mention any experience with tools like JIRA, Confluence, or AWS, as well as your familiarity with MLOps. Highlighting these skills can set you apart from other candidates.
How to prepare for a job interview at HM Revenue and Customs
✨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 role heavily relies on data manipulation and machine learning.
✨Understand the Insurance Industry
Familiarise yourself with the basics of the insurance market and how natural catastrophes impact underwriting. This knowledge will demonstrate your interest in the field and your ability to contribute to the team’s goals.
✨Prepare for Team Collaboration Questions
Since you'll be working closely with scientists, developers, and business experts, be ready to discuss your teamwork experiences. Share examples of how you've successfully collaborated in dynamic environments and contributed to project success.
✨Research BirdsEyeView's Technology
Take some time to understand the WEATHER ANALYTIX platform and its applications. Being able to discuss how you can support its development and integration will show your enthusiasm for the role and your proactive approach.
