Data Scientist, Asset Financial Risk

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• Help make Auckland and Aucklanders more resilient to natural hazards
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• Flexible working and option to purchase an extra week's leave
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• Salary will be $98,000 to $113,000 plus 3.5% KiwiSaver contribution
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Auckland Council is establishing a Natural Hazards and Loss Modelling programme team to better manage the natural hazards risks to its $77 billion asset base, driven by climate change and population growth/intensification.

Because of our scale wehaveauniqueopportunity to build our in‑house capability to model these hazards and their consequences, to develop mitigation strategies to makeAuckland more resilient andto reducecosts for our residents.

We are recruitingspecialists and subject matter experts to be part of this team, from science, asset management, programme management and digital engineering backgrounds. Their work will integrate hazard science, exposure, vulnerability modelling, financial risk analysis and spatial data expertise into a single in‑house function, streamlining Auckland Council’s approach to natural hazard risk management. This will enhance council’s ability to make consistent, evidence‑based decisions about resilience, public safety, land use and insurance.

This programme team will be split across our existing Asset Management Centre of Excellence (who work to improve asset management practices across the whole Auckland Council Group), and our Natural Hazards Team (who coordinate our understanding and response to natural hazards across the organisation).

We are looking for aData Scientist/Analystwho willbe basedin the Asset Management Centre of Excellence,andwho willcollaborate with the Natural Hazards team tosupport the development of asset management models for the Auckland region to inform asset management and resilience.

You could expect to work on:

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• building computational models and handling uncertainty analysis
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• automating scenario testing and data analysis
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• translatingnatural hazard models intofinancial loss; developingprobabilistic loss exceedance curves and annualized loss estimates
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• maintaining,improvingand assessingasset financial data including renewals and maintenance actuals and forecasts
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You will be based in our office in the Auckland City Centre and we offer some flexibility to work from home or at other council offices.

With a background in in Statistics, Data Science,Mathematicsor a related quantitative field, youhave experience in similar roles within large, complex, or political organisations.

We will be looking for specific experience with the key role requirements:

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• skilled in Python,R,statisticsand data pipelines
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• data cleansing and standardisation, and incorporating risk and geospatialanalytics
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• data qualitymanagement and database management
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• excellent communication skills andability to engage effectively with both technical and business stakeholders
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We still encourage you to apply if you have some but notallthese requirements.

At Auckland Council, you will join a dynamic, supportive environment where your mahi (work) will directlyimpactthe lives of over 1.8million Aucklanders. We offer flexible working conditions, a focus on well‑being, and a culture of continuous improvement.

We are proud to be recognised for our commitment to diversity,equityand inclusion. We are accredited byGenderTick, a signatory of the Pride Pledge. These commitments reflect our ongoing efforts to create a workplace where all staff feel valued, respected, and empowered to thrive.

You will getimmensesatisfaction fromworkingwith a motivated and fun team which collaboratesacross the whole organisation to make Auckland – and Aucklanders – more resilient to natural hazards.

Together, we can create aTāmakiMakaurau we can all be proud of.

Applications close: Sunday, 6 September 2026

This role has an indicative remuneration range of $98,000 - $113,000, commensurate on skills and experience

Our employer Kiwisaver contribution is additional to base salary offered.

#WorkingForAuckland #DataScience

Auckland Council is an equal opportunity employer (EOE) and we are committed to providing a working environment that embraces and values diversity and inclusion. If you have any support or access requirements, we encourage you to advise us at the time of application to assist you through the recruitment process.