Contract: 12 Months Fixed Term (Likely extendable)
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Role Overview
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An individual contributor and thought partner leading end-to-end predictive modeling and customer analytics for a strategic financial services engagement.
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Key Responsibilities
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Predictive Modeling: Build, validate, and optimize machine learning models, specifically travel propensity models and customer segmentation.
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Model Reviews & Feature Engineering: Perform post-mortem reviews on existing models, engineer current features, and boost overall model performance.
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Business Insights: Translate complex outputs into explicit, actionable target profiles and recommendations for non-technical stakeholders.
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Execution Focus:
Split workload ~80–90% on core modeling/segmentation and ~10–20% on ad-hoc analytics and AI discovery.
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Key Requirements
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Experience: 5+ years with a Bachelor's Degree, 3+ years with a Master's, or 2+ years with a PhD.
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Technical Proficiency: Python or R, advanced SQL, and hands-on predictive modeling/machine learning.
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Analytics Domain: Customer analytics, portfolio segmentation, and behavioral profiling (cards, payments, or travel domain experience preferred).
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Communication: Solid problem-solving and analytical storytelling skills to influence cross-functional teams.
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Nice-to-Haves
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Databricks, Snowflake, Teradata, H2O.ai, Tableau, or Power BI.
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Applied AI or Generative AI discovery experience.
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J-18808-Ljbffr
📌 Senior Data Scientist New South Wales
🏢 Hr Partners
📍 New South Wales
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