A club with a legacy and real momentum (on field, off field, and in culture)

High Performance Culture – clear standards, real feedback and a team that keeps lifting

Work that matters – you’ll help shape how fans experience the Swans, every day

Flexible, inclusive ways of working so you can do your best work

Based at our state-of-the-art facility

Born from hard work, grit and a relentless drive to win, the Swans have 151 years behind us – and we’re building what’s next. We share the journey, celebrate the wins, and keep raising the bar as one of Australia’s leading sporting clubs.

Choose a career with the Sydney Swans, to join a team that shows up in the big moments and supports each other every day. Guided by Respect, Courage and Curiosity, you’ll contribute to work that matters and be part of something bigger.

We are committed to a supportive, inclusive workplace where people feel connected to our club and to each other. We encourage applications from candidates of all backgrounds.

THE PERKS

Wellbeing support to keep you at your best – including gym access

Perks and discounts via our Corporate Partners

Professional development support tailored to your goals

Club memberships to share match days with friends and family

THE OPPORTUNITY

The Data Scientist will deliver advanced analytics, machine learning solutions and data products that support decision‑making across the Sydney Swans. Working across football, high performance, membership, consumer and commercial teams, you will turn complex data into actionable insights that improve performance, engagement and business outcomes.

Key responsibilities include:

Build predictive models to support football and business decisions.

Develop and maintain machine learning models and data products.

Apply advanced analytics, including forecasting, optimisation and segmentation.

Translate complex data into clear, actionable insights.

Present recommendations to support decision‑making and continuous improvement.





Partner with stakeholders across football, high performance, membership and commercial teams.

Analyse fan behaviour, audience trends, membership performance and commercial outcomes.

Generate insights into customer value, ticket demand and audience segments.

Support strategies that drive fan engagement, membership growth and commercial performance.

Work with large datasets in a modern cloud‑based environment.

Enhance the quality, reliability and accessibility of data assets.

WHAT WE’RE LOOKING FOR

Degree in Data Science, Statistics, Computer Science, Engineering or a related field.

1+ years’ experience in data science, analytics or a similar quantitative role.

Strong Python and SQL capability.

Experience building and deploying machine learning models.

Experience working with large datasets and cloud platforms; AWS preferred.

Ability to communicate insights clearly to technical and non‑technical audiences.

Sports analytics or high‑performance experience highly regarded.

Customer or marketing analytics experience, including segmentation or propensity modelling.

Exposure to forecasting, optimisation or deep learning.

Experience with Power BI, Tableau or similar visualisation tools.

Understanding of data pipelines, ETL, APIs and data quality practices.

Due to the nature of the industry, the ideal candidate must be flexible in their availability as extended hours and weekend work will be required for this role.

Applications close Sunday, 30 August 2026

As we expect a high level of interest in the role, only those applicants short listed will be contacted.

The Sydney Swans do not accept applications from recruitment agencies.

Sydney Swans is an equal prospect employer and child safe organisation committed to ensuring the safety, wellbeing and inclusion of all children and young people. All staff are required to hold a Working with Children Check.

Aboriginal and Torres Strait Islander candidates are encouraged to apply.

Apllicants must be legally entitled to work in Australia

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📌 Data Scientist (New South Wales)
🏢 Sydney Swans
📍 New South Wales