Make a real impact at AFCA. Where fairness drives every decision. Help us deliver world‑class, independent complaints resolution for Australians. As a not‑for‑profit and progressive financial ombudsman, we’re championing positive change. Achieving our purpose takes progressive thinking, accountability and resilience. At AFCA, our inclusive leadership values every voice. We offer our people flexible work options, thoughtful benefits and opportunities to deepen expertise. Flourish in a diverse, caring culture. Feel the difference of belonging to an organisation intentionally designed to put people first.

Job Description

This is an exciting opportunity for someone who enjoys working at the intersection of

data science, machine learning and solution engineering

. You'll design, build and deploy AI solutions that solve real business problems, unlock insights from complex data, and contribute to AFCA's growing AI maturity.

Reporting to the

Technical Data Manager

, you will play a key role in designing, developing and operationalising AI and machine learning solutions across AFCA. Working closely with data engineers, architects, business stakeholders and delivery teams, you'll transform business challenges into practical AI solutions that deliver measurable outcomes.

This role is about more than building models. You'll help bridge the gap between analytical concepts and production implementation, ensuring solutions are scalable, maintainable, secure and aligned with responsible AI principles.

This is initially a 12-month contract position.

What you'll be doing:

Design, build and deploy end-to-end AI and machine learning solutions

Translate business problems into analytical approaches,



model designs and technical solutions

Explore and analyse structured and unstructured data to identify trends, patterns and insights

Develop, evaluate and optimise machine learning models for classification, prediction and decision support

Partner with data and platform engineers to integrate models into enterprise systems and workflows

Contribute to AI engineering, MLOps, DevOps and CI/CD practices

Support testing, deployment, monitoring and continuous improvement of AI solutions

Embed responsible AI principles including fairness, transparency, privacy and explainability

Document models, analytical methods and solution designs to support governance and sustainability

Communicate complex analytical findings to both technical and non-technical audiences

Qualifications

We're looking for someone who combines strong technical capability with excellent stakeholder engagement skills.

You'll have:

Experience designing, building and delivering AI, machine learning or advanced analytics solutions in production environments

Solid knowledge of statistics, machine learning techniques, model evaluation and experimental design

Experience working with both structured and unstructured datasets

Strong programming skills in Python and SQL,



with experience using version control and modern engineering practices

Experience with cloud-based data and AI platforms, ideally Microsoft Azure, Microsoft Fabric and Databricks

Exposure to model deployment, monitoring, CI/CD pipelines and MLOps practices

Knowledge of data governance, security, privacy and responsible AI principles

The ability to translate business needs into practical technical solutions

Strong communication, collaboration and stakeholder management skills

Nice to have:

Experience with Generative AI, Natural Language Processing (NLP) or optimisation techniques

Experience integrating AI solutions with enterprise applications, APIs and workflow platforms

Knowledge of model observability, model risk management and AI governance practices

Relevant qualifications in Data Science, Statistics, Computer Science, Engineering or similar disciplines

Experience working within a complex, regulated or transformation-focused environment

Additional Information

BOSS Best Places to Work 2024

–credited for its culture, engagement and flexible working arrangements.

Most Inclusive Workplace 2024

– Australian HR Institute (AHRI) Awards.

Employer of Choice Public Sector and NFP

– Australian HR Awards 2023

Bronze AWEI Accreditation 2024

– Recognised for LGBTQ+ workplace inclusion.

Accredited Family Friendly Workplace

– Supporting work-life balance and inclusivity.

Hybrid working

– Flexible arrangements with state‑of‑the‑art offices designed for collaboration and wellbeing.

Inclusive leave options

– Flexible public holidays, 20 weeks paid parental leave

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