Top Machine Learning Jobs in New Zealand

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.

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.

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.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

As a Lead Data Engineer, you'll design, develop, and automate scalable data engineering products. You'll optimize data processes, implement data ingestion frameworks, and leverage machine learning to enhance solutions. Additionally, you will mentor junior team members, collaborate with stakeholders, and ensure data visualization standards are maintained for effective analytics-driven decision making.

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.

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.

As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.