Data Scientist II - Supply Chain Forecasting & Automation

Schneider Electric; Auckland; Hybrid; NZD 120,000 - 160,000; Full time

Benefits offered by this job

Global Family Leave

Medical coverage

Employee Stock Ownership

Hybrid work arrangement

Job summary

Schneider Electric seeks a Data Scientist to partner with Global Supply Chain teams to improve forecasting, optimisation, and automation using advanced analytics. The role covers end-to-end model development, production deployment, and ongoing monitoring within enterprise infrastructure.

Based in New Zealand with flexible location options, this opportunity focuses on delivering measurable business outcomes and driving AI-enabled reporting across the supply chain.

Qualifications

• Proficiency in Python and SQL with production-level deployment experience.
• Experience building forecasting, optimisation, and ML solutions.
• Strong understanding of statistics and model validation methods.

Responsibilities

• Partner with Global Supply Chain to identify opportunities for analytics-driven improvement.
• Translate business problems into actionable analytical solutions.
• Design and develop forecasting, optimisation, predictive, and prescriptive analytics.
• Own end-to-end data science lifecycle from exploration to deployment and monitoring.
• Deploy solutions using enterprise AWS infrastructure and integrate with workflows.
• Monitor performance, adoption, and business impact of models.

Skills

Python

SQL

Forecasting

Machine learning

Statistics

Stakeholder engagement

Communication

CI/CD

MLOps

Education

Postgraduate qualification in Data Science or related field

Tools

dbt

Airflow

AWS

Git

Job description

Schneider Electric seeks a Data Scientist to partner with Global Supply Chain teams to improve forecasting, optimisation, and automation using advanced analytics. The role covers end-to-end model development, production deployment, and ongoing monitoring within enterprise infrastructure.

Based in New Zealand with flexible location options, this opportunity focuses on delivering measurable business outcomes and driving AI-enabled reporting across the supply chain.