Senior Data Scientist, Finance

📋 Description

• Design and deliver models, analytics and insights for Finance & GA teams.
• Lead forecasting, planning and performance management initiatives.
• Embed models into dashboards, MBR and QBR cycles.
• Hands-on role; mentor analysts and data scientists, build solutions.
• Partner with GA leaders to frame problems and data-driven decisions.
• Hybrid work in Melbourne or Sydney; blend in-office and remote work.

🎯 Requirements

• Strong SQL skills; extract, wrangle and analyze large datasets.
• Python or R experience across the data science workflow.
• Statistical and ML techniques: time-series, regression, classification, causal inference.
• Tableau for visualization; translate analysis for non-technical stakeholders.
• Strong problem-framing; translate questions into analytical problems with hypotheses and metrics.
• Experience partnering with Finance or similar function; understand planning and decision-making.

🎁 Benefits

• Hybrid work model with Melbourne or Sydney base and flexible WFH.
• Boost days for in-person team collaboration.
• Shape Xero's AI and analytics strategy in a supportively growth-focused team.
• Mentoring and growth within a close-knit Finance GA team.