Skip to main content

Data Scientist

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
ASIC
Sydney, NSW
hybrid
Full Time / Fixed Term
$131,025 - $149,295 per yr

Apply for this job

Posted 4 months ago
This role is expired

These roles are hiring now

View all similar roles →

Data & Analytics Graduate Program 2027

IAG
Sydney, NSW
hybrid
  • Graduate program in data and analytics
  • 0-1 years experience, recent graduate
  • Data analytics, data science, problem-solving
Posted 5d ago

Senior Manager Data Science - Ecosystem

Canva
Sydney, NSW
hybrid
  • Strategic data partner for Ecosystem Platform and AI integrations
  • Senior data leader with experience as thought partner to Product leadership
  • SQL, Python or R, experimentation, measurement strategy, AI system evals
Posted 18d ago

Senior Data Scientist - Discovery (12-month contract)

Canva
Sydney, NSW
hybrid
  • Lead data-centric strategy for Discovery product team
  • 5+ years experience in data science
  • SQL, Python/R, experimentation, product analytics, search/recommendations
Posted 18d ago

Principal Data Scientist – Financial Crime Model Validation

CommBank
Sydney, NSW
hybrid
  • Lead financial crime model validation capability using ML and GenAI
  • Deep experience in financial crime models and validation required
  • Python, PySpark, AWS, ML, statistics, model governance
Posted 25d ago

A career at ASIC will broaden and deepen your already accomplished knowledge, skills and abilities. By working on cutting edge issues, you'll make a difference to our goals, Australia's economic reputation and wellbeing and your own career aspirations

ASIC's Data, Analytics and AI (AiDA) team is seeking a Data Scientist to join their team. The successful candidate will contribute to data analysis, insights, machine learning, and AI initiatives across ASIC, supporting the development and delivery of data‑driven solutions.

  • Sydney Location
  • 12 Month Fixed Term Position
  • Salary from $131,025 to $149,295 (depending on experience) + 15.4 % Superannuation
  • Applications close at 11:59pm AEDT, Thursday 26 March 2026

The team

The Data, Analytics and AI (AiDA) team is essential for ASIC's transformation into a digitally enabled, data-informed regulator. The data science team within AiDA collaborates with business units to develop machine learning solutions, utilizing the latest technologies to address regulatory and compliance challenges in surveillance and enforcement.

The role

As a Data Scientist, you will contribute to data analysis, insights, machine learning, and AI initiatives. You will support the development and delivery of machine learning and AI solutions in collaboration with stakeholders, applying established best practices. The role will also involve conducting analysis and experiments to help identify emerging trends, risks, and potential misconduct across financial services and markets.

More specifically, you will:

  • Develop a strong understanding of ASIC's data assets and how they contribute to strategic and regulatory value
  • Maintain awareness of emerging technologies and industry trends to evaluate their applicability in supporting business outcomes
  • Analyses and interpret complex information and communicating insights clearly to support informed decision‑making across ASIC
  • Contribute to the development and delivery of AI/ML solutions from initial requirements through to implementation, while managing stakeholder expectations regarding timelines and solution adoption
  • Support the ongoing monitoring and maintenance of production AI/ML solutions, identifying and responding to performance issues, degradation or model drift

About you

The ideal candidate will have a solid foundation in data, insights, machine learning, and AI, with the ability to contribute to the development and enhancement of AI/ML solutions. They will demonstrate proficiency in data analysis, statistical techniques, modelling, data visualisation and communicating insights effectively.

In addition, you will have:

  • Tertiary qualifications in a quantitative discipline such as Applied Finance, Statistics, Mathematics, Computer Science or Economics
  • 3+ years of industry experience in AI, Machine Learning Engineering, Data Science or similar role
  • Proficiency in programming languages such as Python, R and SQL
  • Previous experience working with data science and machine learning platforms, including Amazon SageMaker, Azure ML, Databricks or Vertex AI
  • Demonstrated experience in manipulating and analysing structured, semi‑structured and unstructured data to solve complex problems
  • Experience working across the MLOps lifecycle, including model design, development, deployment, monitoring, maintenance and retirement

Click 'apply' to start your application. Applications close at AEDT, Thursday 26 March 2026.

About ASIC

ASIC's remit is one of the broadest of regulators across the world. ASIC regulates corporations, markets, financial services and consumer credit and monitors and promotes market integrity and consumer protection in the Australian financial system. Through our enforcement work, we hold to account those who contravene the law, working to achieve strong outcomes that address the greatest consumer and investor harms.

ASIC is an equal opportunity employer seeking people who want to make a difference. ASIC is committed to a diverse and inclusive workplace where the very best talent in Australia chooses to work. Applications from people of all ages, cultural backgrounds, abilities, LGBTIQ+ identity, and people of Aboriginal and Torres Strait Islander descent are encouraged to apply.

We offer a range of employee benefits including:

  • Attractive superannuation
  • Additional leave entitlements
  • 50/50 hybrid work-from home model
  • Flexible work arrangements
  • Assistance for study and professional development

To work with us, you need to be an Australian citizen and be prepared to complete an ASIC Suitability and Baseline Assessment.

At ASIC, we're proud of the difference we make to Australia's economic reputation and wellbeing. Our values – accountability, professionalism and teamwork – underpin everything we do.