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 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.
If this role sounds likmke your next one - Click Apply or share resumes on riddhi.moitra@randstaddigital.com.au
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.
