Australian Council for Educational Research (ACER) – Camberwell VIC
Are you an emerging data scientist looking to apply AI, machine learning and advanced analytics to real-world challenges?
Join ACER and help develop innovative data products and solutions that support education systems globally.
About ACER
The Australian Council for Educational Research (ACER) is an independent, international not-for-profit organisation focused on improving learning through world-class research, assessment and digital innovation.
With approximately 400 staff across Australia and internationally, ACER delivers high-impact educational solutions at scale.
The Measurement, Analytics and Technologies (MAT) division drives innovation in assessment science and data-driven solutions, with a strong focus on advancing analytics capability, modernising data infrastructure and embedding AI across the organisation.
The Opportunity
We are seeking a Data Scientist to join the Data Science and Automation Program (Statistical Software and Analytics team).
In this role, you will contribute to the development of AI-enabled data science solutions, from proof-of-concept through to operational delivery.
You will work alongside senior team members to develop analytical tools, machine learning models and data products that support ACER's assessment, reporting and research activities.
Key Responsibilities
Develop and deliver tested, version-controlled software and data products
Apply AI, machine learning and NLP techniques to solve analytical and statistical problems




Support the transition of proof-of-concept solutions into production environments
Work with structured and unstructured data using SQL, Python and/or R
Develop analytical outputs and data products to support Power BI and reporting solutions
Contribute to the testing, validation and monitoring of data science models and workflows
Apply responsible AI principles including privacy, fairness, explainability and reproducibility
Collaborate with internal stakeholders and IT teams to deliver scalable cloud-based solutions
Contribute to technical documentation and ongoing product maintenance
Support continuous improvement and innovation across the organisation
What You'll Bring
3+ years' experience in data science, AI, advanced analytics or a related field
Strong programming skills in Python and/or R
Experience applying machine learning, NLP or AI techniques in operational settings
Experience working with SQL and complex datasets
Understanding of cloud platforms such as AWS or Azure
Familiarity with Agile delivery practices and tools such as Jira and Confluence
Strong analytical, problem-solving and communication skills
Ability to work collaboratively with technical and non-technical stakeholders




Postgraduate qualification (Master's degree or PhD) in a relevant discipline
This Role is Well Suited to Someone Who:
Enjoys solving complex analytical and statistical problems
Is interested in applying AI and data science to meaningful, real-world challenges
Thrives in a collaborative and innovative environment
Wants to continue building their technical capability and expertise
Is passionate about the responsible use of AI and data
Why Work With Us
Contribute to innovative AI and data science solutions with global education impact
Work in a research-driven, collaborative environment
Strong focus on learning, development and career growth
Hybrid and versatile working arrangements
Inclusive, values-driven organisational culture
Applications close: Monday, 3 August **** at 11:59PM AEST.
ACER is an equal opportunity employer and is committed to actively fostering a diverse and inclusive work environment.
We are dedicated to attracting, retaining and developing our people regardless of gender identity, cultural and faith background, sexual orientation, disability and/or age.
ACER welcomes applications from all sectors of the community.
ACER encourages applications from the Aboriginal and/or Torres Strait Islander community.
ACER is committed to supporting candidates with disability through provision of adjustments during the recruitment and selection process and throughout employment.
To request or discuss adjustment requirements, please contact:******
#J-*****-Ljbffr

📌 Data Scientist (Melbourne)
🏢 Australian Council for Educational Research
📍 Melbourne