Shape how data science drives customer engagement and financial wellbeing by designing, building and deploying segmentation and predictive models to support lifecycle marketing and personalisation.
Requirements
- Deep experience in a Data Scientist, Machine Learning Engineer or Advanced Analytics role, delivering end to end modelling solutions
- Experience working collaboratively across marketing, analytics and technology teams
- Strong SQL capability and experience working with large, complex datasets in cloud-based environments
- Hands on experience with Google Cloud Platform, particularly BigQuery, with exposure to Vertex AI or similar ML platforms
- Strong Python skills for modelling, feature engineering, automation and experimentation
- Solid experience with segmentation techniques such as k means, hierarchical clustering, DBSCAN, RFM or custom scoring models
- Experience building, evaluating and maintaining production ready machine learning models, including predictive or propensity models in a marketing or customer engagement context
- A strong understanding of marketing segmentation concepts, including lifecycle, behavioural and value-based segmentation
- Ability to communicate complex analytical concepts clearly to non-technical stakeholders and influence decision making
To apply for this job please visit careers.insigniafinancial.com.au.
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