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Geospatial Data Scientist (Jnr/Mid)

JR United Kingdom

Chester

On-site

GBP 35,000 - 65,000

Full time

7 days ago
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Job summary

A leading InsurTech venture in Chester seeks a Geospatial Data Scientist to contribute to the WEATHER ANALYTIX platform. You will develop models for natural disasters, collaborate with experts, and leverage cutting-edge technology. This role offers significant growth opportunities and a competitive compensation package including health insurance and share options. Candidates are encouraged to apply regardless of full qualifications.

Benefits

Health insurance
Performance incentives
Pension
Share options
26 days holiday
Work-from-abroad policy
Office in City of London

Qualifications

  • 2+ years experience for Junior/Mid roles, 4+ years for Mid/Senior roles.
  • Experience with large geospatial datasets is essential.
  • Understanding of climate data and MLOps is a plus.

Responsibilities

  • Support strategy and implementation for WEATHER ANALYTIX platform.
  • Process meteorological datasets with European Space Agency.
  • Develop models for natural catastrophe risks.

Skills

Python
Statistical Modeling
Data Science
Geospatial Data Management
Web Systems Architecture

Education

Bachelor's degree in Computer Science
Master's preferred

Tools

JIRA
Confluence
GitLab
AWS

Job description

Social network you want to login/join with:

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Client:

BirdsEyeView

Location:

Chester, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

3

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

GEOSPATIAL DATA SCIENTIST ROLE (Junior & Senior)

Overview:

BirdsEyeView is an InsurTech venture based in London. It 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 technology ecosystem includes climate data infrastructure, scalable product development, and machine learning data cleansing and ingestion. It helps underwriters assess exposures to climate-change-induced natural catastrophes.

About the role

You will support the development of Natural Peril models for BirdsEyeView’s WEATHER ANALYTIX platform, which provides climate and weather analytics to insurance partners, helping them assess exposure and improve underwriting.

You will join a team of scientists, developers, and insurance experts, impacting business applications and product development. This role is ideal for someone interested in climate and geospatial data, new technologies, and the insurance industry.

Opportunities for growth are significant, and you will contribute to various areas of the business.

Key Responsibilities:

  • Support the strategy and implementation for the WEATHER ANALYTIX platform.
  • Process meteorological datasets via partnership with the European Space Agency.
  • Develop and incorporate models for wildfire, hurricane, tornado, lightning, earthquake, and flood risks.
  • Collaborate with Business Development to define and deliver new products and features.
  • Select and implement technology solutions to meet current and future needs.
  • Qualifications include a Bachelor's degree in Computer Science, Statistics, Physics, or related field; 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 statistical and data science modeling, understanding of web systems architecture, and strong autonomous working skills.

Nice to Have:

  • Experience with JIRA, Confluence, GitLab, AWS
  • Experience with ERA5/Climate Data
  • Experience with MLOps
  • Knowledge of the Insurance Market

Compensation:

  • Competitive salary, performance incentives, health insurance, pension, share options, 26 days holiday, work-from-abroad policy, office in City of London.

Note: This is an on-site role requiring a minimum of 4 days/week in the office.

Applicants are encouraged to apply even if they do not meet all criteria. Send CV & Cover Letter to: [emailprotected]

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