Manager, Data Science

About usACC 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 roleAs Manager, Data Science you will shape and drive ACC's data science work programme, delivering smart, data-driven solutions that make a real difference for our customers and our organisation.You'll guide a talented team working to deliver scalable analytics systems, using AI and other advanced analytics methods to support ACC's targeted initiatives aimed at improving rehab performance and operational efficiency and effectiveness.

You'll set priorities aligned with ACC's strategic goals, mentor and grow your team's capabilities, and help foster a culture of learning and innovation.You'll also collaborate closely with stakeholders across ACC to understand business needs and identify opportunities where data science can add value, whether it's designing better services, measuring performance, or optimising operations.For a detailed position description click hereAbout youHold a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field-or bring equivalent work experience.Proven experience leading data science or analytics teams, with a strong track record of delivering strategic programmes that align with organisational priorities.Skilled in statistical analysis, artificial intelligence, predictive modelling, and research design.Proficient in tools and technologies such as Python or R, SQL, machine learning frameworks, and data visualisation platforms.Confident guiding the full data science lifecycle, from initial scoping and discovery through to deployment.Comfortable working with a wide range of stakeholders, including business units, IT teams, and technical experts, to embed data science across the organisation.Strong communicator, able to translate complex insights into clear, actionable recommendations for both technical and non-technical audiences.Knowledgeable about data privacy regulations and ethical standards, with experience implementing data governance and ensuring compliance.A strong understanding of the insurance sector, with insights into human behaviour and how it influences customer interactions and decision-making.In depth knowledge of claims processes and how data science can support better service design, performance measurement, and operational efficiency.Working at ACCAt 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 $164,705 and $232,525 and we offer an additional 9% superannuation contribution.

ACC offer a comprehensive benefits package, including 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.How to applyPlease attach your CV and cover letter telling us why you would be a great fit and what strengths you would bring to the role.Applications will run through to Monday 29 September, however please note that if an ideal candidate is found during this time we will move forward with screening and interviewing sooner.Applications can only be accepted when submitted through our ACC Career Website.

If you encounter accessibility issues when submitting your application, or if you have any patai (questions) about the role please email

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