Top Data Science Jobs in New Zealand

Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.

The Sr. Data Scientist will lead model development for Empower's Southeast Asia launch, focusing on credit risk models to increase approval rates while reducing loss rates. Responsibilities include collaborating with stakeholders, building machine learning models, and improving financial product offerings.

As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.

As a Statistical Data Scientist, you will develop innovative data solutions, conduct statistical analysis, build predictive models, and create visualizations to support business decisions. You'll work cross-functionally to integrate data science solutions into existing workflows and provide expert guidance on data projects.

Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.

The Senior Statistical Data Scientist will provide technical leadership in developing analytics solutions, conduct statistical analysis, build models, and collaborate with teams to integrate statistical insights into workflows. The role requires mentoring team members and applying advanced statistics and machine learning to solve business problems.

The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.