Airport Capacity Planning Data Scientist
London (All Terminals), United Kingdom
GBP 40K-45K (estimate) Senior-level Full Time
Tasks
- Build simulation and discrete event simulation models for capacity analysis
- Conduct peak flow analysis and what if scenario planning
- Create technical reports and presentations
- Detect anomalies and operational bottlenecks
- Develop interactive dashboards for monitoring
- Develop machine learning models for forecasting baggage volume and capacity utilization
- Engineer time series lag features and temporal features
- Maintain code standards and reproducible research
- Present findings to non-technical stakeholders
- Tune hyperparameters and perform cross validation
Perks/Benefits
- Annual leave
- Cycle to work scheme
- Medical insurance
- Pension
- Recognition platform
- Salary Exchange for Childcare Costs
- Wellbeing membership
Skills/Tech-stack
Anomaly Detection | Azure Data | Azure Data Factory | Azure SQL | CUDA | Caret | Cross-validation | CuML | Data Factory | Data Table | Discrete Event Simulation | Discrete event | DuckDB | Ensemble Methods | Event simulation) | Feature Engineering | GPU Computing | Git | Gradient boosting | High Performance | High-Performance Computing | Hyperparameter Tuning | LaTeX | Machine Learning | Performance Computing | PostgreSQL | Python | R | Random Forest | Regularized regression | SQL | Series analysis | Shiny | Supervised Learning | Tidymodels | Tidyverse | Time Series | Time Series Analysis | Time Series Decomposition | XGBoost
Education
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