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Geospatial Data Scientist (Jnr/Mid)

JR United Kingdom

Woking

On-site

GBP 40,000 - 60,000

Full time

2 days ago
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Job summary

A leading InsurTech venture based in London is seeking a Geospatial Data Scientist to support the development of Natural Peril models for their WEATHER ANALYTIX platform. This role entails working with complex climate and geospatial data to impact product development and improve underwriting processes. Ideal candidates should have a background in Computer Science or related fields, with a strong command of Python and experience processing geospatial datasets. The position offers growth opportunities and involves collaboration with scientists and business experts.

Benefits

Health Insurance
Pension
Share options
26 days holiday/year
Work from Abroad Policy (7 days)

Qualifications

  • 2+ years experience for Junior/Mid role.
  • Proficiency in Python for data manipulation and machine learning.
  • Experience with large geospatial datasets.

Responsibilities

  • Support strategy and implementation for WEATHER ANALYTIX platform.
  • Develop models for global weather events.
  • Collaborate on new product delivery.

Skills

Python
Data manipulation
Machine learning
Statistical techniques
Project management

Education

Bachelor's degree in Computer Science, Statistics or related field
Master's degree preferred

Tools

JIRA
Confluence
GitLab
AWS

Job description

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Geospatial Data Scientist (Jnr/Mid), Woking

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Client:

BirdsEyeView

Location:

Woking, 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. They build Natural Catastrophe Modelling software for reinsurance and insurers worldwide. Their software enables modeling of floods, wildfires, cyclones, and more.

Their technology includes climate data infrastructure, scalable development, and machine learning for data cleansing and ingestion, helping underwriters assess climate-related risks.

About the role

You will support the development of Natural Peril models for the WEATHER ANALYTIX platform, which provides climate and weather analytics to insurance partners to 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, technology development, and the insurance industry.

The role offers growth opportunities and involvement in various business areas.

Key Responsibilities:

  • Support strategy and implementation for WEATHER ANALYTIX platform.
  • Process meteorological datasets via partnership with the European Space Agency.
  • Develop global wildfire, hurricane, tornado, lightning, earthquake, and flood models.
  • Collaborate with Business Development to define and deliver new products.
  • Select and implement technology solutions for current and future needs.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Statistics, Physics, or related field; Master's preferred.
  • 2+ years experience for Junior/Mid role, 4+ years for Mid/Senior role.
  • Proficiency in Python for data manipulation and machine learning.
  • Experience with large geospatial datasets.
  • Knowledge of statistical and data science techniques.
  • Understanding of web system architecture.
  • Ability to work independently with good project management skills.

Nice to Have:

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

Compensation:

  • Competitive salary and incentives.
  • Health Insurance & Pension.
  • Share options.
  • 26 days holiday/year.
  • Work from Abroad Policy (7 days).
  • Location: City of London.

Note: On-site role requiring at least 4 days/week in the office.

Interested candidates are encouraged to apply by emailing their CV and Cover Letter to: [emailprotected]

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