WFM forecaster working student F/M
Core
Predict future operations volumes to enable correct staffing and maintain service levels in a global insurance environment.
Role type
Working student (Master's level) WFM forecaster
Builds
Long-term volume forecasts for specific business units and lines of business
Domain
Insurance operations / Workforce Management
Deliverable
production ML models
Required skills
Python (pandas, numpy, scikit-learn, statsmodels), Time series analysis, Statistics and probability, Data validation, Microsoft Excel
Preferred skills
Prophet, SQL, Cloud platforms (AWS, Azure, GCP, Databricks, Snowflake), Git/GitHub, BI tools (Power BI)
Technologies
Python, Prophet, pandas, numpy, scikit-learn, statsmodels, Excel, SQL, AWS, Azure, GCP, Databricks, Snowflake, Power BI, Git
Responsibilities
Support production of long-term volume forecasts and document assumptions; Compare actual vs forecasted volumes to improve accuracy; Analyze data to spot trends, patterns, and outliers; Run and maintain forecasting models; Collaborate on data accuracy and validation processes; Assist with ad-hoc analysis and reporting.
Seniority
Working student (Master's level)
