Geospatial Data Scientist Role (Junior & Senior)
Overview:
BirdsEyeView is an InsurTech venture based in London. We develop Natural Catastrophe Modelling software for reinsurance and insurers worldwide. Our software enables modeling of floods, wildfires, cyclones, and more.
The ecosystem includes climate data infrastructure, scalable product development, and machine learning data processing, helping underwriters assess climate-related risks.
About the role:
You will support the development of the Natural Peril component for our WEATHER ANALYTIX platform, which offers climate and weather analytics to insurers.
You will join a team of scientists, developers, and insurance experts, with opportunities to influence business applications and product development.
This role suits those interested in climate and geospatial data, technology development, and the insurance industry.
Expect opportunities for growth and cross-functional impact.
Key Responsibilities:
* Support strategy and implementation of the WEATHER ANALYTIX platform.
* Process meteorological data through partnerships, e.g., with the European Space Agency.
* Develop models for wildfires, hurricanes, tornadoes, lightning, earthquakes, and floods.
* Collaborate with Business Development to deliver new products and features.
* Evaluate and implement technology solutions.
* Qualifications include a degree in Computer Science, Statistics, Physics, or related fields; Master's preferred.
* Experience: 2+ years for Junior/Mid; 4+ years for Mid/Senior roles.
* Proficiency in Python, experience with large geospatial datasets, knowledge of data science techniques, understanding of web systems, and ability to work independently.
Nice to Have:
* Experience with JIRA, Confluence, GitLab, AWS.
* Experience with ERA5/Climate Data, MLOps, insurance markets.
Compensation:
* Competitive salary, incentives, health insurance, pension, shares.
* 26 days holiday, work-from-abroad policy, office in City of London.
* Roles: Junior/Mid (2+ years), Mid/Senior (4+ years).
Note: On-site role, minimum 4 days/week in the office.
Interested candidates are encouraged to apply even if not all criteria are met. Send CV and cover letter to: [emailprotected]
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