ABOUT THE COMPANY:
An iconic Kiwi brand with a true global presence, trusted by New Zealander's for many years.  They offer collaborative working environment where all ideas are heard and tested against their goal to be the most human-centred brand within their sector.

ABOUT THE ROLE:
As the Data Scientist, you will lead and shape their data science and AI capability, enabling data-driven decision-making and delivering measurable business value. This role plays a critical part in driving operational efficiency and innovation across the organisation by applying advanced analytics, machine learning, and artificial intelligence to complex, real-world problems.

You will work closely with data engineers, analysts, and business stakeholders, providing technical leadership while translating data into actionable insights that influence strategy and outcomes.

RESPONSIBILITIES:

• Own and drive the data science strategy, identifying and delivering opportunities to create business value through data-driven decision-making and AI.
• Lead the development and application of advanced analytics and machine learning models to support predictive and prescriptive use cases across the business.
• Work with large, complex datasets to identify trends, patterns, risks, and opportunities that inform strategic and operational decisions.
• Collaborate with cross-functional stakeholders to define problem statements, data requirements, and success measures.
• Provide technical leadership, direction, and guidance to the data science team across multiple initiatives and projects.
• Ensure high standards of data quality, governance, and reproducibility, including data preparation and model performance.
• Build and maintain strong internal and external relationships, providing visibility of data science activity and supporting integrated, organisation-wide strategies.

ABOUT YOU:

• 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.

WHAT'S IN IT FOR YOU?

• A working environment designed for people to thrive
• Growth and upskilling opportunities
• Good work/life balance - 3 days in office, hybrid model
• Free parking onsite
  
  

WHAT'S NEXT?
Don't miss out on this great opportunity.  Apply ASAP, or for more information, contact Lisa Cooley on 021 029 81422 or lcooley@brightspark.io