Data Scientist

This is a rare opportunity for a seasoned Data Scientist to step into a high-impact, 12-month hourly‑rate contract in Auckland. The role offers autonomy, a collaborative team environment, and ownership of advanced analytics workflows from end to end, driving sophisticated machine learning solutions that influence strategic business decisions.

The organization places data at the heart of its operational strategy and is expanding its capabilities to meet growing project demands. As a contract Data Scientist you will design, optimise, and productionise complex data models, elevate existing pipelines, automate workflows, and establish scalable solutions for long‑term success.

The company operates behind the scenes of regionally significant data initiatives, blending deep technical engineering with real‑world business outcomes. It emphasizes innovation, cloud integration, continuous improvement, and provides a sophisticated tech ecosystem for data specialists.

As a contract Data Scientist you will build efficient machine learning models and optimise data pipelines. Your day‑to‑day responsibilities will include:

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• Developing and implementing advanced machine learning models (supervised, unsupervised, NLP, and time‑series) to solve complex business problems.
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• Designing, cleaning, and implementing robust data pipelines to automate integration of data from databases, APIs, and cloud platforms.
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• Optimising existing workflows and data transformations for maximum efficiency, scalability, and performance.
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• Deploying production‑ready models into integrated environments and continuously monitoring their performance.
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• Partnering with data engineers and business analysts to translate technical findings into actionable insights for non‑technical stakeholders.
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• Creating intuitive dashboards and visualisations to track key metrics and support business intelligence.
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To succeed in this 12‑month contract you should have:

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• Extensive hands‑on experience as a Data Scientist or Machine Learning Engineer, focused on building, deploying, and maintaining models in an enterprise environment.
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• High proficiency in Python, R, and SQL, with deep experience using data manipulation and ML libraries such as pandas, scikit‑learn, TensorFlow, or Keras.
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• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and familiarity with SQL/NoSQL databases and data warehousing concepts.
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• Proven ability to design robust feature‑engineering workflows and automated data pipelines.
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• Outstanding communication skills, able to collaborate cross‑functionally and present technical concepts to senior management.
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• A curious, adaptable, and detail‑oriented approach to problem‑solving.
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Applicants must be legally entitled to work in New Zealand. If you are not a NZ Citizen, you must have the right of permanent residence or a valid work visa.

Does this sound like it could be the next role for you? Get in touch with Dan for a confidential discussion at [email protected] or call 021331559.