posted 29 july 2026
Location: Sydney, NSW (Hybrid: 2–3 days/week in-office)
Contract: 12 Months Fixed Term (Likely extendable)
An individual contributor and thought partner leading end-to-end predictive modeling and customer analytics for a strategic financial services engagement.
Predictive Modeling: Build, validate, and optimize machine learning models, specifically travel propensity models and customer segmentation.
Model Reviews & Feature Engineering: Perform post-mortem reviews on existing models, engineer new features, and boost overall model performance.
Business Insights: Translate complex outputs into clear, actionable target profiles and recommendations for non-technical stakeholders.
Execution Focus: Split workload ~80–90% on core modeling/segmentation and ~10–20% on ad-hoc analytics and AI discovery.
Experience: 5+ years with a Bachelor's Degree, 3+ years with a Master's, or 2+ years with a PhD.
Technical Proficiency: Python or R, advanced SQL, and hands-on predictive modeling/machine learning.
Analytics Domain: Customer analytics, portfolio segmentation, and behavioral profiling (cards, payments, or travel domain experience preferred).
Communication: Strong problem-solving and analytical storytelling skills to influence cross-functional teams.
Databricks, Snowflake, Teradata, H2O.ai, Tableau, or Power BI.
Applied AI or Generative AI discovery experience.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
Location: Sydney, NSW (Hybrid: 2–3 days/week in-office)
Contract: 12 Months Fixed Term (Likely extendable)
An individual contributor and thought partner leading end-to-end predictive modeling and customer analytics for a strategic financial services engagement.
Predictive Modeling: Build, validate, and optimize machine learning models, specifically travel propensity models and customer segmentation.
Model Reviews & Feature Engineering: Perform post-mortem reviews on existing models, engineer new features, and boost overall model performance.
Business Insights: Translate complex outputs into clear, actionable target profiles and recommendations for non-technical stakeholders.
Execution Focus: Split workload ~80–90% on core modeling/segmentation and ~10–20% on ad-hoc analytics and AI discovery.
Experience: 5+ years with a Bachelor's Degree, 3+ years with a Master's, or 2+ years with a PhD.
Technical Proficiency: Python or R, advanced SQL, and hands-on predictive modeling/machine learning.
Analytics Domain: Customer analytics, portfolio segmentation, and behavioral profiling (cards, payments, or travel domain experience preferred).
Communication: Strong problem-solving and analytical storytelling skills to influence cross-functional teams.
Databricks, Snowflake, Teradata, H2O.ai, Tableau, or Power BI.
Applied AI or Generative AI discovery experience.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
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