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 explicit, 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.

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: Solid 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.
J-18808-Ljbffr

📌 Senior Data Scientist City Of Sydney (Australia)
🏢 Hr Partners
📍 Australia