Data Scientist
Fisher & Paykel AppliancesAuckland, Auckland, New Zealand
Posted February 11, 2026
Full Time
About the Company
Fisher & Paykel Appliances designs, manufactures & markets a range of innovative household appliances developed with a commitment to technology, design, user-friendliness & environmental awareness. We have been designing products since 1934 & have grown into a global company operating in 50 countries, manufacturing in Thailand, Mexico, China and Italy. Our design heritage is founded on a pioneering spirit & a culture of curiosity that has challenged conventional appliance design to consistently deliver products tailored to human needs. For us, legacy is about looking to the future while ensuring what we develop today is aligned to the fundamental principles of sustainable design. We are committed to ongoing research and development. Our culture is one of open innovation, which allows people to work collaboratively to find insights & ideas that connect with our customers & respect our planet. Fisher & Paykel Appliances Ltd includes other subsidiary companies. Dynamic Cooking Systems Inc, in the USA specialises in outdoor & indoor cooking products some of which are now available in Australia & NZ, & Fisher & Paykel Italy specialises in European cooking products. Privacy Policy: www.fisherpaykel.com/privacy
Job Description
The Data Scientist role at Fisher & Paykel involves leading and shaping the company's data science and AI capability, enabling data-driven decision-making and delivering measurable business value. The role requires a strong background in data science, machine learning, and analytics, with a focus on driving operational efficiency and innovation across the organisation.
Requirements
- Minimum 5+ years' experience in data science, data analytics, or advanced insights roles, ideally within complex or enterprise environments.
- Solid experience applying machine learning techniques to real-world business problems, from model development to optimisation and deployment.
- Proven capability in data exploration, statistical analysis, and visualisation, using tools such as Matplotlib, Seaborn, Tableau, or Power BI to communicate insights.
- Strong proficiency in Python or R for data analysis, modelling, and automation.
- Skills in the libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch are beneficial.
- Working knowledge of SQL, data pipelines, and data warehousing concepts, with experience collaborating closely with data engineering teams.
- Demonstrated ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- A proactive, collaborative mindset with the confidence to lead, influence, and drive change through data and analytics.
Benefits
- Competitive remuneration
- Superannuation scheme
- Full on-site subsidised cafeteria (Auckland)
- Free car parking
