Senior Fraud Data Scientist at ACC New Zealand

Wellington, Wellington, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

119161.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Detection, Machine Learning, Statistical Modelling, SQL, Python, AI Techniques, Technical Leadership, Stakeholder Engagement, Data Governance, End-to-End Solution Delivery, Mentoring, Risk Analytics

Industry

Government Administration

Description

Permanent – Wellington * Develop and deliver models to prevent and detect fraud, misuse, and waste. * Support the growth of Fraud Data Scientists and Fraud Intelligence Analysts through your technical leadership. * Work closely with stakeholders to identify business opportunities and explore ways to develop tools and systems that are valued and used by the business. About us | Mō mātou ACC is a trusted and high‑performing organisation, providing care, supporting recovery and promoting injury prevention, now and into the future. You can find more about ACC and the work we do at www.acc.co.nz [https://www.acc.co.nz] About the role | Mō te tūranga mahi The Fraud Prevention and Investigation team works to prevent and respond to fraud, misuse, and waste through intelligence led action, timely intervention, and effective remediation. Within this team, the Fraud Analytics function designs and delivers analytical products that turn complex data into actionable intelligence, supporting prevention activity, targeted investigations, and informed decision making. You will join a supportive and collaborative team that values working together, shared learning, and continuous improvement. As a Senior Fraud Data Scientist, you will play a key role in leading the development of high value analytical solutions that identify emerging risks and suspicious behaviour at both individual and system levels. You will apply advanced statistical modelling, machine learning, and AI techniques to develop robust solutions. Working closely with investigators, prevention teams, and a wide range of stakeholders, you will translate complex problems into practical solutions that enable effective action. As a senior technical leader, you will provide coaching and guidance to data scientists and intelligence analysts, contribute to strong model and system governance, and take ownership of solutions from problem definition through to deployment and ongoing optimisation. The appointing salary for this role is $101,287 to $119,161 based on experience and we offer an additional 9% superannuation contribution. ACC offers a comprehensive benefits package which at present includes an advantageous superannuation scheme with features like no mandatory employee contribution, optional life and income protection insurance, and flexibility to change to a locked plan at any time. About you | Mōu We’re looking for proactive problem solvers who thrive in collaborative environment and enjoys bringing innovative ideas into results. We value potential and growth over perfection so if you meet most of the criteria and are enthusiastic about learning and contributing, we’d love to hear from you! * At least 3-5 years of practical experience applying data science in fraud prevention, risk, analytics, or a closely related field, with a strong understanding of fraud detection approaches and indicators. * Advanced SQL and Python capability, with experience applying machine learning and statistical modelling in production. * Demonstrated ability to deliver data science solutions end to end, from problem definition and modelling through to deployment, optimisation, and ongoing governance. * Proven technical leadership, including mentoring and coaching analysts or data scientists, and supporting high quality delivery across multiple priorities. * Strong stakeholder engagement skills with the ability to translate complex analytical work into clear, actionable insights that build trust and influence decision making. * Experience working within privacy, security, and ethical data frameworks, including responsible AI and secure production standards with a continuous improvement mindset. * You must hold New Zealand work rights at the time of application. 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's 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. How to apply | Me pēhea te tuku tono Please attach your CV and cover letter telling us why you would be a great fit and what strengths you would bring to the role. As part of your application, please tell us in your cover letter: * Why do you want to be a senior data scientist in a fraud team? * If you are currently based outside Wellington, please clarify your willingness to relocate. * Describe your experience and proficiency using coding languages like SQL and Python. Applications will run through to Sunday 28 June 2026 1159pm, however if an ideal candidate is found we may progress screening and interviewing sooner. Applications can only be accepted through the ACC Career Website. For accessibility support or pātai (questions), email HRHelp@acc.co.nz [HRHelp@acc.co.nz]

Responsibilities

Develop and deliver advanced analytical models to detect and prevent fraud, misuse, and waste. Provide technical leadership and coaching to data scientists and intelligence analysts to uplift team capability.