Fraud Analytics Scientist – Impactful Data Science

ACC New Zealand; Wellington; On-site; NZD 78,000 - 90,000; Full time

Benefits offered by this job

9% superannuation contribution

Comprehensive benefits package

Job summary

ACC New Zealand invites applications for a Fraud Data Scientist based in Wellington. The role focuses on preventing external fraud and misuse within ACC's Fraud Analytics team, building tools and models to turn data into actionable insights.

You’ll work with multi-source data, apply machine learning, and collaborate with stakeholders to detect high-risk behaviours and enable proactive interventions. A tertiary qualification in a relevant discipline is required, with learning and growth

Qualifications

• Tertiary qualification in a relevant discipline.
• Experience or interest in data science, analytics and fraud detection.
• Strong programming and data visualization skills.
• Ability to work with stakeholders and communicate insights.

Responsibilities

• Develop advanced analytical tools to detect, prevent and respond to fraud and misuse.
• Translate complex challenges into actionable insights for stakeholders.
• Collaborate with Fraud Prevention & Investigation teams to deliver models and monitoring solutions.

Skills

Python

R

SQL

Power BI

Machine learning

AI

Statistical modelling

Communication skills

Stakeholder engagement

Innovation mindset

Te Tiriti o Waitangi knowledge

Education

Tertiary qualification in a relevant discipline

Tools

Cloud-based analytics environments

Job description

ACC New Zealand invites applications for a Fraud Data Scientist based in Wellington. The role focuses on preventing external fraud and misuse within ACC's Fraud Analytics team, building tools and models to turn data into actionable insights.

You’ll work with multi-source data, apply machine learning, and collaborate with stakeholders to detect high-risk behaviours and enable proactive interventions. A tertiary qualification in a relevant discipline is required, with learning and growth