Build your career and Australia’s future.
Not many people can say they are working on building Australia’s future. With us you’ll be doing just that, leaving a legacy for all Australians. Plus, there’s equal employment, great training, and true flexible working arrangements.
A fantastic opportunity has presented itself for a Senior Manager Data Science reporting to General Manager Data Science and Delivery.
A bit about your role
The role will involve designing and delivering advanced analytics solutions using AI, machine learning, optimisation solvers, and data mining techniques. In this role, you will partner closely with business stakeholders to define complex problems, develop testable hypotheses, and build high‑quality models that are embedded into scalable data products.
As a senior member of the team, you will work within a cross‑functional environment to translate insights into impact, while also mentoring and developing junior data scientists. You will contribute to best practices, uplift team capability, and help shape a strong analytics culture that drives data‑informed decision‑making.
A bit about you
You will hold a tertiary qualification in a data science–related discipline, with postgraduate qualifications advantageous. Strong machine learning capability, and hands‑on experience working across data platforms, governance, and AI/ML environments will set you up for success. Experience deploying models into production and building data products is highly regarded.
You demonstrate strong technical skills in Python or R, SQL, data manipulation libraries, version control, visualisation, and cloud platforms such as AWS. You pair this with solid business acumen, excellent communication and influencing skills, and strong planning and organisational capability to deliver impactful, high‑quality data solutions.
Life at nbn
To be part of nbn is to be part of something bigger. There’s so much more from here. Our pioneering spirit drives us forward every day. Together, we help lift the digital capability of the nation by building and connecting Australia’s best fibre infrastructure into homes and businesses, plus places and things, everywhere. We’re continuing to create Australia’s network—a network made for more. Not just a way for everyone to do the things they love but transforming the way they do them.
A more inclusive working world
nbn is committed to an inclusive, flexible, and supportive workplace where everyone can feel heard, valued, and respected. We believe diverse perspectives are the key to unlocking greater outcomes and encourage applications from people of all ages, nationalities, abilities, and cultures. That's why we have a Reconciliation Action Plan, Accessibility & Inclusion Plan, offer 18 weeks of paid parental leave, are a Pride in Diversity Platinum Employer, and have active employee-led diversity pillars. Click here to see our list of employee benefits and why we're recognised as a WORK180 Endorsed Employer for Women.
Equal Opportunities for All
We champion equal opportunities for all employees. If you have any accessibility requirements and would like to discuss adjustments for the recruitment process, please don’t hesitate to contact us by emailing [email protected] or calling our Recruitment Accessibility Enquiry Line at +61 2 8918 9990. Please note, this line is dedicated to accessibility-related enquiries for the purposes of recruitment, and only enquiries related to accessibility adjustments will be answered. For other matters, please visit our Contact Us page on our website.
Where to from here?
If you think this role might be for you, we want to hear from you. Please apply by following the links and sending in your resume only. We do not require a cover letter or any selection criteria to be addressed.
Please note that this is a permanent opportunity and applications for this role will close at midnight Sunday 17th May 2026
To be eligible for this role, you must have full working rights in Australia.
Worker TypePermanentTime TypeFull timeSkills Required
- Tertiary qualification in a data science-related discipline
- Strong machine learning capability
- Hands-on experience with data platforms and AI/ML environments
- Experience deploying models into production
- Technical skills in Python or R, SQL, data manipulation libraries, version control, visualization, and cloud platforms like AWS
- Solid business acumen and excellent communication skills
What We Do
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