Data Scientist

About the role

HC Forward is Deloitte’s innovation engine for Human Capital — integrating technology, data, and industry expertise to create scalable solutions and assets that extend client capabilities and drive ongoing value across all Human Capital offerings.

What you'll do

• Design and ship distributed data processing pipelines in PySpark, moving raw payroll data through a medallion architecture (raw → standardised → aggregated → modelled)
• Build ML pipelines for time-series forecasting and anomaly detection over payroll data
• Write clean, class-based, testable Python — interfaces, factories, dependency injection, not 800-line procedural scripts
• Submit and orchestrate Spark jobs programmatically on a managed cloud ML platform (we use Azure ML Studio, but the patterns generalise)
• Own the contracts between subsystems: data pipelines, ML libraries, and orchestration layers are intentionally decoupled, and you will help keep them that way

What you need

• 8–14 years in data science & ai
• Machine learning
• Python
• Spark
• AWS
• Azure
• ETL
• Any graduate