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Geospatial Data Scientist (Jnr/Mid)

JR United Kingdom

Warrington

On-site

GBP 35,000 - 55,000

Full time

6 days ago
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Job summary

A leading InsurTech company is seeking a Geospatial Data Scientist to join their team in Warrington. Candidates will develop Natural Peril models for climate analytics in insurance, working with various datasets and technology solutions to enhance risk assessment. This position requires strong Python skills and a background in data science or computer science, with opportunities for professional growth in an innovative environment.

Benefits

Health Insurance
Pension Scheme
Share options
26 days annual leave
Work from Abroad Policy (7 days)

Qualifications

  • 2+ years experience for Junior/Mid role, 4+ years for Mid/Senior role.
  • Experience with large geospatial datasets.
  • Ability to work independently with good project management skills.

Responsibilities

  • Support strategy and implementation for WEATHER ANALYTIX platform.
  • Develop models for Wildfire, Hurricane, Tornado, Lightning, Earthquake, and Flood.
  • Collaborate with Business Development to define and deliver new products.

Skills

Python
Data manipulation
Machine learning
Statistical modeling techniques
Geospatial datasets
Project management

Education

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

Tools

JIRA
Confluence
GitLab
AWS

Job description

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Geospatial Data Scientist (Jnr/Mid), Warrington, Cheshire

Client: BirdsEyeView

Location: Warrington, Cheshire

Job Category: Other

EU work permit required: Yes

Job Views: 3
Posted: 06.06.2025
Expiry Date: 21.07.2025
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 globally, enabling them to model floods, wildfires, cyclones, and more.

Their technology includes climate data infrastructure, scalable product development, and machine learning 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, providing climate and weather analytics to insurance partners to assess exposure and improve underwriting.

You will join a small 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.

This position 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 models for Wildfire, Hurricane, Tornado, Lightning, Earthquake, and Flood.
  • Collaborate with Business Development to define and deliver new products.
  • Select and implement suitable technology solutions.

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 modeling techniques.
  • Understanding of web systems architecture.
  • Ability to work independently with good project management skills.

Nice to Have:

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

Compensation & Benefits:

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

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

Interested candidates are encouraged to apply even if not all criteria are met. Send your CV & Cover Letter to: [emailprotected]

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