Associate Data Scientist

Worker Type: Permanent Here at BNZ, its about more than just banking. We work together in an agile, energising environment to create innovative solutions through our promise "If you can imagine a better future, lets find a way." We support wellbeing, flexible working and have a generous leave offering. There is the opportunity for growth, learning and career development. No two days are the same. Ko mātou tēnei | This is Us Our role as the Bank of New Zealand is to help navigate New Zealand towards a better future. That means we are focusing on our customers, continually improving the way we do business. Here at BNZ we embrace flexible working, have a strong focus on career development and progression, as well as a range of great benefits, including Banking discounts, life insurance and generous parental leave. And did we mention you get six weeks annual leave? This is a great position for someone who is excited by advanced analytics and unlocking the power of data and science! Mō te Tūranga | About the Role We sat down with our Head of Advanced Analytics, who let us know the following about the role: What are 5 day to day tasks the person in this role will complete?

• Assist in the development of statistical and mathematical models using a variety of rigorous techniques
• Adhere to robust modelling processes and follow the internal governance / risk framework
• Support BNZ Analytics to deliver on their key strategic outputs with commercial outcomes
• Support development of machine learning capability within BNZ
• Support bank-wide data science; including segmentation frameworks, predictive models and analytics for insights development

What is the team culture and environment like? I promote an open and collaborative culture. The diverse team are supportive of each other to ensure they are high performing. We are strongly focussed on innovative, sustainable and ethical data science. What is your management style? Transparency, caring, a growth-focus, delivery aligned. What attributes will this person display in order to be successful in this role? This person will be curious, have a growth mindset, show initiative, and work collaboratively with others. They must be someone who is technically strong and documents their work well.

• Background in statistical analysis and modelling techniques over large data sets
• Evidence of researching, constructing and validating accurate models
• Basic level of programming in Python/R/Spark
• Knowledge of big data environments (Hadoop/Cloud)

What is your favourite thing about working for BNZ? The awesome team of people, who share and collaborate, that I have the honour of leading. Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand This is an exciting opportunity to join us! Were bold thinkers who are taking brave steps to create a company that people want to work for, and customers want to bank with. If youre ready to join a fun organisation where we are proud of our culture and how we are helping New Zealanders to Find their way, then show your interest by submitting your application - we cant wait to read it. Ehara taku toa i te toa takitahi, engari he toa takitini" - Success is not the work of an individual, but the work of many.” Closing Date: 12 June 2025