Applied ML Data Scientist - Predictive Analytics & Impact

Southern Cross Travel Insurance; Auckland; Hybrid; NZD 120,000 - 160,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Hybrid work options

Job summary

Southern Cross Travel Insurance is seeking a Data Scientist focused on Applied ML and Advanced Analytics in Auckland. You will shape how data science is used across SCTI, collaborate with cross-functional teams, and build capabilities in a growing analytics practice.

You will work with data in Snowflake to develop predictive and prescriptive models, design experiments, and embed insights into day-to-day decisions, while upholding governance and risk considerations.

Qualifications

• Proven experience in data science or advanced analytics within a commercial setting.
• Experience applying statistical modelling and predictive analytics to real-world problems.
• Hands-on knowledge of deploying machine learning models to production environments.
• Familiarity with governance, privacy, bias, and model risk in ML.

Responsibilities

• Develop and influence data science applications across SCTI and establish responsible ML standards.
• Identify high-value opportunities and embed data science outputs into decision-making.
• Design experiments, define success metrics and evaluate model outcomes.

Skills

Data Science

Machine Learning

AI

Advanced Analytics

Statistical Modelling

Model Validation

Production ML

Cross-functional Collaboration

Education

Bachelor's degree or equivalent

Tools

Snowflake

MLOps

Job description

Southern Cross Travel Insurance is seeking a Data Scientist focused on Applied ML and Advanced Analytics in Auckland. You will shape how data science is used across SCTI, collaborate with cross-functional teams, and build capabilities in a growing analytics practice.

You will work with data in Snowflake to develop predictive and prescriptive models, design experiments, and embed insights into day-to-day decisions, while upholding governance and risk considerations.