Top Machine Learning Jobs in Wellington

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.

The Head of Solutions Implementation will manage client relationships, lead project teams, drive business development, and mentor team members. This role involves strategic planning, contributing to the firm's methodologies, and enhancing client solutions through advanced data analysis and automation.

As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.