Data Scientist

Data Scientist / Data Engineer

Location: Sydney, NSW, Australia

Employment Type: Full-Time

About The Role

Seeking a talented and driven Data Scientist / Data Engineer with a passion for financial advice and wealth management. This is a hands-on, high-impact role suited to someone who thrives in a fast-paced environment and enjoys transforming complex financial data into actionable insights.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and data infrastructure.
• Develop and deploy machine learning models, predictive analytics, and statistical solutions.
• Collaborate with product, operations, and business stakeholders to deliver data-driven outcomes.
• Maintain data quality, governance frameworks, and documentation standards.
• Analyze complex datasets related to financial advice, consumer behavior, and market trends.
• Develop dashboards, reporting tools, and data products for internal and external stakeholders.
• Stay current with AI/ML, analytics, and financial advice industry developments.

Essential

Required Skills & Experience

• Strong understanding of the Australian financial advice ecosystem, including AFSL structures, advisers, product platforms, and regulatory frameworks (FASEA, DDO, Best Interests Duty).
• Hands-on experience with ETL/ELT pipelines, SQL, cloud platforms (AWS, Azure, or GCP), and workflow orchestration tools.
• Strong Python programming skills for data processing, modelling, and analysis.
• Practical experience in statistics, machine learning, and predictive analytics.
• Excellent communication skills with the ability to explain insights to technical and non-technical audiences.

Highly Regarded

• Experience in financial advice technology, wealth management, or fintech.
• Familiarity with ASIC data sources and the Financial Advisers Register.
• Experience building data products or analytics platforms in commercial environments.
• Exposure to NLP and unstructured data analysis.
• Previous startup or scale-up experience.