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Senior/Intermediate Computational Water Resource Scientist | KSL

  • A great opportunity to get in on the ground floor of a growing water resource research and consulting business

  • Rapid career growth opportunities coupled with pathways to employee ownership

  • Flexible, supportive working environment

  • A competitive remuneration package

The opportunity

Kōmanawa Solutions Ltd is a water resource consultancy and research organisation specialising in water resource management, investigation and modelling, environmental limit setting and water resource impact assessment. Our clients are central and local NZ government and private sector organisations across NZ, Australia, and the UK. Our research streams focus on climate change and sea level rise impact assessment and adaptation and change detection in environmental monitoring.Our growing consulting and research workstreams are providing opportunities for water resource practitioners to join our team and help to tackle some of the biggest natural resource challenges in Aotearoa NZ, mō tātou, ā, mō kā uri ā muri ake nei (for us and our children after us). 

Role attributes

We are seeking a Senior Computational Water Resource Scientist / Computational Water Resource Scientist with the following attributes:


Preferred: BSc. in physical or environmental science, preferably coupled with a post graduate qualification in geology, hydrogeology or hydrology

For the right canidate: Strong quantitative background with transferable skills

Preferred: 2+ years’ experience  (Scientist) or 5+ years’ experience (Senior Scientist)
For the right canidate: Minimal experience with strong numerical capabilities

Preferred: Christchurch
For the right canidate: Anywhere in New Zealand (remote working / work from home)
Work Eligibility
All applicants MUST be a New Zealand citizen/resident or have a valid New Zealand work visa.

Part time - Full time

Specific Skills
Scientific programming
Preferred:  Minimum 2 years experience in Python
For the right canidate: Minimum 2  years experience with another programming language (e.g. R, etc.) and willingness to transition to Python. Experience can include, non-professional, or in training experience.

Mathematical skills
Strong mathematical background, particularly in statistics.
Ability to learn
Someone who loves learning and is excited to take on new and varied challenges

Groundwater modelling
Preferred: Experience with Modflow suite, particularly Flopy, PyEMU

General computer skills
Preferred: Experience with Linux
Communication skills
Excellent written and spoken communication capabilities coupled with strong interpersonal skills

Other professional skills
Preferred: Experience with environmental effects assessment and consenting, groundwater resource investigation and development and groundwater and surface water quality

For the right canidate: Transferable skills and a proven ability to learn quickly

What we offer
At Kōmanawa Solutions Ltd we value scientific excellence, delivering positive outcomes for Aotearoa/New Zealand, and work-life balance. We offer:

Work environment: We are a staff first organisation and value a collaborative and friendly working environment. We’re headquartered  in central Christchurch with several remote employees. We offer time in lieu for overtime hours to allow you to do the things you love.
Flexibility: We support flexible working hours, working location, and unpaid leave options
Staff growth: We are committed to growing our staffs’ capabilities, expanding their expertise and career progression.
Self direction: We strongly support development of the skills you want to build, and expansion into new areas our team are passionate about.
Compensation: Competitive salary and a pathway to employee ownership.

Employer questions

  • Your application will include the following questions:Which of the following programming languages are you experienced in?

  • Which of the following statements best describes your right to work in New Zealand?

  • How many years' experience do you have as a Scientist?

  • Which of the following data analytics tools are you experienced with?

  • How many years of project management experience do you have?

  • What's your highest level of education?

  • Are you willing to relocate for this role?

  • What's your preferred work type?

How to apply: through application, or email

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