Senior Data Scientist (12-Month Fixed Term)
Location: Sydney, NSW (Hybrid: 2-3 days/week in-office)
Contract: 12 Months Fixed Term (Likely extendable)
Role Overview
An individual contributor and thought partner leading end-to-end predictive modeling and customer analytics for a strategic financial services engagement.
Key Responsibilities
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 recent 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 ~*****% on core modeling/segmentation and ~*****% on ad-hoc analytics and AI discovery.
Key Requirements
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.
Nice-to-Haves
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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📌 Senior Data Scientist (New South Wales)
🏢 Randstad Digital Australia
📍 New South Wales