Fraud Data Scientist

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

Benefits offered by this job

9% superannuation

Flexible working

Job summary

The New Zealand Government's ACC in Wellington is seeking a Fraud Data Scientist to join the Fraud Analytics team. You will develop analytical tools to detect, prevent, and respond to fraud and misuse, turning complex data into actionable intelligence for proactive interventions.

This permanent full-time role offers opportunities to learn and grow in a supportive environment, with collaboration across stakeholders and a focus on integrity, innovation, and Te Tiriti principles.

Qualifications

• Tertiary qualification in a relevant discipline.
• Demonstrated ability to work with data science and analytics.
• Willingness to learn and collaborate with stakeholders.

Responsibilities

• Develop analytical tools to detect, prevent, and respond to fraud.
• Translate complex data into actionable insights for investigators and partners.

Skills

Python

R

SQL

Power BI

ML/AI

Education

Tertiary qualification in a relevant discipline

Job description

Wellington based permanent full-time role available in the Fraud Analytics team to prevent external fraud and misuse in ACC. Join an organisation that supports and develops your career. Enjoy opportunities to learn and grow with supportive team, to start your career in data science & analytics.

About us

Mō mātou ACC exists to support people - we help prevent injuries and get New Zealanders and visitors back to everyday life if they've had an accident. You can find more about ACC and the work we do here.

About the role

Mō te tūranga mahi The Fraud Prevention and Investigation team prevent and address fraud, misuse, and waste through intelligence-led action, timely intervention and appropriate remediation. Our Fraud Analytics team builds innovative solutions that turn complex data into actionable intelligence, enabling proactive detection, targeted investigations, and strategic interventions. You'll be joining a supportive and collaborative team that values working together to achieve shared goals. We celebrate successes, learn from challenges, and actively support each other to improve. As a team, we bring a diverse range of experience and perspectives, creating an environment where knowledge is shared and innovation thrives. If you're looking for a place where teamwork and continuous development are at the heart of what we do, this is it.

As a Fraud Data Scientist, you will play a key role in protecting the integrity of the Scheme by developing advanced analytical tools that detect, prevent, and respond to fraud and misuse. You'll use data science, various AI methods and automation to transform complex, multi-source data into high-quality models, intelligence products and monitoring solutions that identify high-risk behaviours and enable effective interventions. You will work with Fraud Prevention & Investigation teams and wider stakeholders to translate complex challenges into actionable insights and practical tools. You'll also contribute to a culture of integrity, innovation and partnership, applying technical skills, clear communication, and organisational values to deliver meaningful, real-world impact.

About you

Mōu We're looking for proactive problem solvers who thrive off identifying trends, collaborating with others, and leveraging new and emerging technologies. This role requires tertiary qualification in a relevant discipline, and if you are recent graduate we would like you to submit your latest academic records or proof of tertiary qualifications. We value potential and growth over perfection so if you meet most of the criteria and are enthusiastic about learning and contributing, we'd encourage you to apply!

• Programming Skills: Confident in Python, R, SQL, Power BI and/or cloud-based analytics environments, with capability or interest in machine learning, AI, and statistical modelling.
• Fraud & Risk Insight: Demonstrate understanding of fraud detection models, risk indicators, or advanced analytical tools that support prevention and early detection.
• Communication Skills: Excellent interpersonal and communication skills (both verbal and written), and able to share insights from their analysis to a range of stakeholders.
• Stakeholder Engagement: Confident in working with stakeholders.
• Innovation Mindset: A proactive, curious approach with a strong focus on using data science and machine learning to drive innovation in fraud prevention.
• Cultural Competence: Understanding and application of Te Tiriti o Waitangi principles within data, analytics, and organisational decision-making.

This role requires you to be eligible to work in New Zealand.

Working at ACC

Mō ACC At ACC, we embrace the rich tapestry of Aotearoa New Zealand's cultures and are dedicated to providing equitable opportunities. We know that a diverse and inclusive team helps us meet the needs of our customers, and we encourage applications from individuals of all backgrounds, ethnicity, national origin, gender identity, age, and those with diverse abilities. It is important to us that people are free to be themselves at work.

Here are some ways we encourage that:

• Employee networks to support our colleagues from diverse backgrounds.
• The option to explore flexible working that suits your needs and ours.

The appointing salary for this role will sit between $77,502 - $90,418 and we offer an additional 9% superannuation contribution.

ACC offer a comprehensive benefits package which at present includes an advantageous superannuation scheme with features like 0% contribution required by you, optional life and income protection insurance, and the flexibility to change to a locked plan at any time, ensuring your financial security now and in retirement.