Risk Modeller & Climate Analytics Scientist

New Zealand Institute for Earth Science

Christchurch

On-site

NZD 90,000 - 116,000

Full time

14 days+
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Benefits offered by this job

Generous leave entitlements
Flexible working options
Employee benefits
Permanent full-time role

Job summary

New Zealand Institute for Earth Science in Christchurch undertakes risk modelling and data science to turn hazard and climate data into actionable insights. The role collaborates with risk scientists and stakeholders to shape resilience planning across Aotearoa and supports capacity-building through mentoring and workshops.

Applicants should have up to 5 years of experience in risk modelling or data science, with strong Python, GIS and data visualization skills, and familiarity with big data and

Qualifications

  • Graduate qualification in risk modelling, data science or natural hazards.
  • Strong knowledge of mathematical and statistical concepts.
  • Proficiency in Python programming, data visualization, and cloud computing.

Responsibilities

  • Develop risk modelling frameworks, data integration and ML pipelines for hazard data.
  • Collaborate with scientists and stakeholders to co-create risk solutions for resilience planning.
  • Mentor others and deliver workshops to enhance data science capabilities.

Skills

Python
Data science
Risk modelling
Machine learning
Geospatial analysis
Cloud computing

Education

Graduate/undergraduate qualification in risk modelling or data science

Tools

QGIS
ArcGIS
Command line

Job description

New Zealand Institute for Earth Science in Christchurch undertakes risk modelling and data science to turn hazard and climate data into actionable insights. The role collaborates with risk scientists and stakeholders to shape resilience planning across Aotearoa and supports capacity-building through mentoring and workshops.

Applicants should have up to 5 years of experience in risk modelling or data science, with strong Python, GIS and data visualization skills, and familiarity with big data and

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