Geospatial Data Scientist (Mid/Snr)

JR United Kingdom; Preston; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in the InsurTech sector is seeking a Geospatial Data Scientist for their powerful WEATHER ANALYTIX platform. The ideal candidate is passionate about climate data and will influence product developments while applying their analytical skills to complex geospatial datasets. This role demands enthusiasm for dynamic teamwork and offers significant growth opportunities in the fields of data science and insurance.

Benefits

Health Insurance

Pension

Share options

26 days holiday annually

Work from Abroad policy (7 days)

Qualifications

• Experience: 4+ years for Mid/Snr, 2+ years for Junior/Mid roles.
• Proficiency in Python for data manipulation and machine learning.
• Experience with large geospatial datasets.

Responsibilities

• Support strategy and implementation for WEATHER ANALYTIX - on time and within budget.
• Collaboration with Business Development to define and deliver new products.
• Choose and implement suitable technology solutions.

Skills

Python

Project management

Collaboration

Education

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

Master's preferred

Tools

JIRA

Confluence

GitLab

AWS

Job description

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Geospatial Data Scientist (Mid/Snr), Preston, Lancashire

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Client:

BirdsEyeView

Location:

Preston, Lancashire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

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 develop Natural Catastrophe Modelling software for reinsurance and insurers worldwide. Their software models floods, wildfires, cyclones, and more.

Their ecosystem includes climate data infrastructure, scalable development, and machine learning for data cleansing and ingestion, helping underwriters assess climate 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 risks and improve underwriting.

You will join a small team of scientists, developers, and insurance experts, with opportunities to influence business applications and product development.

This role is ideal for someone interested in large climate and geospatial data, new technologies, and the insurance industry.

There are significant growth opportunities, and you will contribute to various business areas.

Key Responsibilities:

• Support strategy and implementation for WEATHER ANALYTIX - on time and within budget.
• Process meteorological datasets via partnership with the European Space Agency.
• Develop models for Wildfire, Hurricane, Tornado, Lightning, Earthquake, and Flood.
• Collaborate with Business Development to define and deliver new products and features.
• Choose and implement suitable technology solutions.
• Qualifications include a Bachelor's degree in Computer Science, Statistics, Physics, or related fields; Master's preferred.
• Experience: 4+ years for Mid/Snr, 2+ years for Junior/Mid roles.
• Proficiency in Python for data manipulation and machine learning.
• Experience with large geospatial datasets.
• Knowledge of statistical and data science models.
• Understanding web systems architecture.
• Ability to work independently with good project management skills.
• Proactive, collaborative attitude in a dynamic team.

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 annually.
• Work from Abroad policy (7 days).
• Location: City of London.
• Experience levels: Junior/Mid (2+ years), Mid Senior (4+ years).

NB: On-site role with a minimum of 4 days/week in the office.

Interested candidates are encouraged to apply even if they don’t meet all criteria. Send CV & Cover Letter to: [emailprotected]