Geospatial Data Scientist (Jnr/Mid)

JR United Kingdom; Newcastle upon Tyne; On-site; GBP 35,000 - 55,000; Full time

Job summary

A leading InsurTech company based in London is looking for a Geospatial Data Scientist in Newcastle-upon-Tyne to support climate and weather analytics. The role involves processing meteorological datasets, developing peril models, and collaborating with experts in a cutting-edge environment with significant growth opportunities.

Benefits

Health Insurance & Pension

Share options

26 days holiday per year

Work from Abroad policy (7 days)

Qualifications

• 2+ years of experience for Junior/Mid roles; 4+ years for Mid/Senior roles.
• Experience with large geospatial datasets.
• Proactive attitude and ability to work independently.

Responsibilities

• Support strategy and implementation for the WEATHER ANALYTIX platform.
• Process meteorological datasets via partnerships.
• Collaborate with Business Development for new product features.

Skills

Proficiency in Python

Statistical modeling techniques

Project management skills

Effective team collaboration

Education

Bachelor's degree in Computer Science, Statistics, Physics or related

Master's degree preferred

Tools

JIRA

Confluence

GitLab

AWS

Job description

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Geospatial Data Scientist (Jnr/Mid), Newcastle-upon-Tyne, Tyne and Wear

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Client:

BirdsEyeView

Location:

Newcastle-upon-Tyne, Tyne and Wear, United Kingdom

Job Category:

Other

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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. 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 climate data infrastructure, scalable product development, and machine learning data cleansing and ingestion. These tools help underwriters assess exposures to climate-change-induced natural catastrophes.

About the role

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

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

There are significant opportunities for growth and cross-functional impact within the company.

Key Responsibilities:

• Support strategy and implementation for the WEATHER ANALYTIX platform.
• Process meteorological datasets via partnerships such as with the European Space Agency.
• Develop models for wildfires, hurricanes, tornados, lightning, earthquakes, and floods.
• Collaborate with Business Development to define and deliver new products and features.
• Select and implement suitable technology solutions.
• Bachelor's degree in Computer Science, Statistics, Physics, or related; Master's preferred.
• Experience: 2+ years for Junior/Mid; 4+ years for Mid/Senior roles.
• Proficiency in Python for data and machine learning tasks.
• Experience with large geospatial datasets.
• Knowledge of statistical and data science modeling techniques.
• Understanding of web system architecture and development.
• Ability to work independently with good project management skills.
• Proactive attitude and effective team collaboration 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 and incentives
• Health Insurance & Pension
• Share options
• 26 days holiday per year
• Work from Abroad policy (7 days)
• Office in City of London
• Experience levels specified for roles

Note: On-site role requiring at least 4 days/week in the office. We welcome applications even if not all criteria are met. Send CV & Cover Letter to [emailprotected]