Fraud Data Scientist

About Us

ACC is dedicated to supporting people by preventing injuries and helping New Zealanders and visitors recover from accidents. The organisation values diversity and inclusion, offering employee networks and flexible work options to foster an equitable workplace. ACC provides a comprehensive benefits package, including a competitive superannuation scheme with a 9% employer contribution and optional life and income protection insurance.

Role Overview

This Wellington-based permanent, full-time position is within the Fraud Analytics team, tasked with preventing external fraud and misuse through intelligence-led strategies. The team develops innovative analytical solutions to transform complex data into actionable intelligence, facilitating proactive fraud detection and targeted investigations. As a Fraud Data Scientist, you will create advanced analytical models and automated monitoring tools using data science, AI, and machine learning techniques to identify high-risk behaviours and support effective fraud interventions. Collaboration with Fraud Prevention and Investigation teams and other stakeholders is key to convert complex challenges into practical insights and tools.

Key Responsibilities

• Develop sophisticated data models and intelligence products to detect and prevent fraud and misuse.
• Utilize data science methodologies including machine learning and AI to analyze complex and multi-source datasets.
• Work closely with various teams and stakeholders to translate analytical findings into actionable solutions.
• Promote a culture of integrity, innovation, and partnership within the organisation.
• Communicate insights effectively to a diverse range of audiences.

Candidate Profile

The ideal candidate is a proactive problem solver with a passion for identifying trends and applying new technologies in fraud prevention. A tertiary qualification in a relevant discipline is required, and recent graduates are encouraged to apply by providing their latest academic transcripts. Technical proficiency in Python, R, SQL, Power BI, and cloud analytics is essential, alongside an interest or experience in machine learning, AI, and statistical modelling. Understanding of fraud detection models and risk indicators is important. Excellent communication and stakeholder engagement skills, cultural competence with respect to Te Tiriti o Waitangi principles, and a mindset geared towards innovation are highly valued.

Additional Information

• Applicants must be eligible to work in New Zealand.
• Salary range: $77,502 to $90,418 NZD annually, plus 9% employer superannuation contribution.
• Applications should include a cover letter addressing motivation for the role, willingness to relocate to Wellington if applicable, and experience with programming languages such as SQL and Python.
• Submission deadline is 5:00 pm Sunday, 30 August 2026; early applications encouraged as screening may start sooner.