senior data scientist

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 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.

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.