Permanent Position | Location: Auckland/Wellington/Christchurch

About REANNZ 

REANNZ is a Crown-owned membership organization dedicated to empowering Aotearoa’s research and education sector. Our members include universities, Public Research Organizations, museums, libraries, and government agencies. 

Since 2007, REANNZ has operated and supported specialist in high-performance digital network. From July 2025, following the integration of the New Zealand e-Science Infrastructure (NeSi), REANNZ now provides a national hub for eResearch, offering advanced network services, high-performance computing, cloud, AI, and data analytics platforms, alongside researcher-focused support. 

We are a small, highly skilled, and collaborative team delivering practical, high-impact solutions for researchers and the wider sector. 

The Role 

As a Data Science Engineer, you will work closely with researchers across New Zealand to design, build, and deploy AI and data-driven solutions that address and tackle real world research challenges. You will support projects end to end, from requirements gathering and model development through to deployment and improvement. Working with colleagues across REANNZ, you will help ensure research solutions are robust, reproducible, and scalable. 

Alongside hands-on technical work, you will contribute to building machine learning and data science capability across the research community through mentoring, training, and the promotion of modern research software practices. 

This role suits someone who enjoys applied problem-solving, collaboration with researchers, and seeing their work make a tangible impact. 

What you will be doing: 

• Working with researchers to scope and deliver AI and data science solutions 

• Developing, testing, and deploying machine learning models 

• Building and maintaining data pipelines and supporting infrastructure 

• Supporting models in production and monitoring performance 

• Applying best practices in research software engineering and reproducibility 

• Contributing to training and capability-building activities 

• Sharing insights on emerging AI and data science trends 

What we are looking for: 

Essential 

• Bachelor’s or Master’s degree in a relevant field (PhD level is highly desirable) 

• Experience applying data analytics or machine learning to real-world problems 

• Experience with frameworks such as PyTorch, TensorFlow, or scikit-learn

• Strong programming skills in Python 

• Experience with data engineering and data wrangling 

• Understanding of good research software engineering practices 

• Strong communication skills and interest in working with researchers 

Preferred 

• Experience with generative AI, large language models, or computer vision 

• Experience deploying models to production 

• Familiarity with cloud platforms or MLOps tools 

• Experience in research, education, or high-performance computing environments 

Why join REANNZ? 

At REANNZ, you will be part of a small, passionate team making a big impact on New Zealand’s science and innovation ecosystem. 

We offer flexible working, meaningful work, and the opportunity to shape how researchers access and use world-class computing and data systems. If you enjoy hands-on technical work, collaboration, and purpose-driven projects, this is a role where your contribution truly matters. 

Our benefits include: 

• Extra time off to recharge, including four REANNZ closedown days over the Christmas period and an annual wellbeing day 

• Comprehensive wellbeing support, including Southern Cross Wellbeing One health cover, Employee Assistance Program, and annual flu vaccinations 

• Family-friendly leave, including enhanced parental leave benefits and paid partner leave 

• Flexibility from day one, with immediate access to sick leave and bereavement leave and the ability to take annual leave as it accrues 

• Everyday perks, including staff discounts at PB Technologies 

Applying 

We are committed to building a diverse and inclusive workplace where everyone feels they belong. We welcome applications from people of all backgrounds and experiences. If you are excited about this role but do not meet every requirement, we still encourage you to apply. You might be just the right person for the role! 

Applications close: 21st January 2026 

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