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Data Science Jobs in Auckland

1 - 15 of 41
1 - 15 of 41
Search Results - Data Science Jobs in Auckland
Woolworths New Zealand-Auckland
OverviewWe are Woolworths Group. This team is part of the partnership with Quantium, a world‑class data science and advanced analytics business, dedicated to unlocking the power of AI and insights to reimagine retail. The wiqNZ team works across all...
Fisher & Paykel Healthcare-Auckland
Fisher & Paykel Healthcare in New Zealand is seeking an engineer or scientist for Home Respiratory Support Ideation, blending physics, physiology, data science and medical device development. You will explore ideas, develop sensing, modelling...
LexisNexis Risk Solutions-Auckland
performance, and manage relationships with courts, vendors, and content providers. You will collaborate with Product, Technology, Data Science, Editorial, and Commercial teams to enhance content and customer experience, lead regional initiatives, and #J...
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Trade Me-Auckland
growth by commercialising data, ensure data quality, and partner with Engineering, Data Science, and Sales to deliver scalable data platforms. Strong data, API, and automotive domain knowledge are essential. #J-18808-Ljbffr
ASB Bank-Auckland
ASB Bank in New Zealand is seeking an AI Engineer to design, build, deploy and operationalise machine learning and AI solutions that deliver real value for customers and the bank. You will work within the AI Practice to transform data science...
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LexisNexis-Auckland
coordinating editorial workflows and collaborating with Product, Technology, Data Science, Editorial, and Commercial teams to enhance legal content and the customer experience. #J-18808-Ljbffr
Datacom-Auckland
development. What We’re Looking For We’re looking for a Data Engineer to help build, maintain, and improve the data pipelines and datasets that power analytics and decision‑making at Smartly. You’ll work closely with Data Science, Analytics, Product...
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Tracksuit-Auckland
looked at, I’ve almost never seen a growth trajectory like the growth Tracksuit has seen.” What are we looking for? We’re looking for a “Full Stack” Data Scientist that: Has 3+ years experience as a Data Scientist Brings strong data science craft: Deep...
Trade Me-Auckland
commercializing this data as high-value products. You’ll be a passionate leader, partnering closely with engineering, data science, and sales teams to ensure our data platform serves as a single source of truth across the NZ automotive landscape. In this role, you...
Tracksuit-Auckland
of startup decks I've looked at, I've almost never seen a growth trajectory like the growth Tracksuit has see What are we looking for? We’re looking for a “Full Stack” Data Scientist that: Has 4+ years experience as a Data Scientist Has strong data science...
One New Zealand-Auckland
analytics can create value. Apply data science, predictive modelling, segmentation and experimentation to solve complex problems. Generate proactive insights that identify patterns, risks, opportunities and performance shifts. Translate complex analysis...
Tata Consultancy Services-Auckland
Visualization, Data Science, Data Analytics, and Customer InsightsDrive foundational setup including environments, disaster recovery, CI/CD, and platform observability (SnowMonitor)Implement performance testing frameworks across data pipelines...
New Zealand Clinical Research-Auckland
digital research solutions. Skills and Experience  •  Tertiary qualification in Data Science, Health Science, or a related scientific discipline.  •  Strong attention to detail and the ability to interpret study protocols and requirements.  •  Good...
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Binance-Auckland
architecture.RequirementsMaster’s Degree or higher in Computer Science, Data Science, or a related field.At least 2 years of deep‑learning/NLP experience, including 1+ year of practical LLM work (SFT, DPO, RAG, quantization, inference optimization, etc.).Demonstrated prompt...
LexisNexis Risk Solutions-Auckland
initiatives.  •  Drive adoption of AI‑enabled editorial practices and participate in experimentation with emerging technologies.  •  Collaborate with Product, Technology, Data Science, Editorial, and Commercial teams to enhance legal content and customer...
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