Climate Risk Modeller & Data Scientist

Earth Sciences New Zealand; Wellington; On-site; NZD 89,000 - 110,000; Full time

Benefits offered by this job

Flexible working options

Generous leave entitlements

Employee development and wellbeing

Job summary

We value applicants with strong Python, GIS, cloud computing, and statistical analysis skills, plus experience in processing and visualising geospatial data. The role is full-time and site-based at multiple NZ locations.

Qualifications

• A relevant graduate/undergraduate qualification and up to 5 years of relevant and applied experience in risk modelling, data science or natural hazards.
• Knowledge of risk modelling including an ability to apply mathematical and statistical concepts into risk analyses.
• Data science expertise, including working with big data, statistical analysis, machine learning, data visualisation and cloud computing, and their application to risk modelling.
• Ability to understand natural hazard sciences, including earthquakes, volcano, tsunami, landslide, flooding and climate scenarios.
• Demonstrated proficiency and expertise in Python programming and command line environments, and other programming languages.
• Experience in processing, analysing and visualising geospatial data utilising GIS tools (e.g. QGIS and ArcGIS) and adept in managing databases, applying these in risk modelling.

Responsibilities

• Develop risk modelling frameworks, data integration workflows, and machine learning pipelines that turn complex hazard and climate data into actionable insights.
• Collaborate with risk scientists, hazard and climate scientists, stakeholders and partners to co-create risk solutions that shape resilience planning across Aotearoa.
• Enhance the risk modelling, and data science and management capabilities of others, through mentoring and workshops.

Skills

Python programming

Geospatial data

Data science

Machine learning

Cloud computing

Risk modelling

Statistical analysis

SQL / databases

Education

Relevant graduate/undergraduate qualification

Tools

QGIS

ArcGIS

Big data tools

Command line

Job description

We value applicants with strong Python, GIS, cloud computing, and statistical analysis skills, plus experience in processing and visualising geospatial data. The role is full-time and site-based at multiple NZ locations.