
Data Scientist
4 weeks ago
Join to apply for the Data Scientist role at Australian Financial Complaints Authority.
AFCA is a not-for-profit financial ombudsman focused on delivering world-class, independent complaints resolution for Australians. We value progressive thinking, accountability and resilience, and foster an inclusive culture with flexible work options and supportive benefits.
Job DescriptionThe Data Scientist role will be pivotal in ensuring the continuity and growth of AFCA's AI services and advancing its future AI and data roadmaps. You will harness AFCA's modern data platform and Microsoft services to uncover patterns, trends, and relationships across structured and unstructured data. You'll build classification, prediction, and optimisation models that deliver tailored, actionable insights. Working with internal teams and external partners, you'll help deliver sustainable, innovative, and ethical AI solutions that support AFCA's strategic goals. There are two open positions: 1 x permanent and 1 x 12 month contract.
Typically in this role, you will:
- Design, implement, and test analytical models using tools like Azure Databricks, Synapse Analytics, and AI Foundry
- Lead experiments to compare analytical methods and refine performance
- Deploy solutions within AFCA's change management framework and monitor performance over time
- Participate in requirements workshops and contribute to solution design
- Collaborate with report developers to communicate insights through reports and visualisations
- Act as a bridge between business needs and technical delivery
- Maintain analytics workloads and support continuity of data science services
- Respond to alerts/outages and escalate as needed
- Provide project support, including coordination with third-party providers
- Maintain high-quality documentation (requirements, evaluations, code repositories)
- Build prompt libraries and guardrails in Azure AI Foundry
- Define success metrics (accuracy, bias, hallucination rate) and run A/B tests
- Lead design and evaluation of LLM and RAG-based solutions, including fine-tuning models
To be successful, you will need:
- A degree in Computer Science, Information Technology, or a Data-related field
- Proven experience in working with advanced analytics platforms, data science and/or data and AI projects
- Strong knowledge and experience in data science technologies including Databricks, Python, SQL, ML, AI and/or generative AI concepts/tools
- Experience in deploying LLM-based solutions using Azure OpenAI or similar tools
- Knowledge of data analysis, deep learning, statistics, artificial intelligence, and relational and dimensional data models
- Strong interpersonal skills including oral and written communication
- Strong attention to detail, initiative and the ability to work unsupervised
- Flexible/innovative problem-solving approach
- BOSS Best Places to Work 2024 – 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
- Silver AWEI Accreditation 2025 – LGBTQ+ workplace inclusion
- Accredited Family Friendly Workplace – work-life balance and inclusivity
- Hybrid working – flexible arrangements with modern offices for collaboration
- Inclusive leave options – flexible public holidays, 20 weeks paid parental leave, gender affirmation leave, women's health leave, and paid time off over Christmas
- Financial benefits – not-for-profit salary packaging
- Locations – AFCA offices in Melbourne and Sydney CBD
If you're passionate about fairness and believe your skills align with this role, apply even if you don't meet every criterion. We welcome applications from people of all backgrounds, cultures, abilities, sexual orientations, and gender identities. For accessibility support during recruitment, please email Careers@afca.org.au. AFCA is a 2025 Circle Back Initiative Employer — we are committed to responding to every applicant.
Location and Other DetailsMelbourne, Victoria, Australia
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