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Data Scientist
2 months ago
The Forecasting Data Scientist will provide technical expertise for demand forecasting and airport capacity at Heathrow. They will perform data analytics and advanced modeling to aid operational planning and strategic problem-solving. Additionally, they will refine complex models and methods using advanced tools like machine learning and enhance efficiency through automation.
Key Responsibilities:- Provide Precise Forecasting and Capacity Analysis: Support efficient airport planning and operations by delivering accurate forecasting and capacity analysis.
- Transform Data into Actionable Insights: Convert data analysis into actionable insights for Heathrow, enabling informed decisions despite uncertainties using commercial and operational intelligence.
- Communicate Complex Ideas Clearly: Communicate complex ideas accurately and clearly to senior stakeholders, both internally and externally, including non-technical audiences.
- Improve Team Forecasting Capabilities: Continuously improve team forecasting and analytical capabilities by engaging with business members and seeking innovative solutions.
- Collaborate with Airport Community: Collaborate with the airport community to ensure access to essential data and tools and develop and maintain intricate forecasting models and dashboards.
- Advanced Technical and Analytical Competence: Possess a numerate person with an advanced understanding of statistics and advanced technical and analytical competence, ideally with a broad interest in aviation.
- Programming and Data Analysis Skills: Have object-oriented programming experience, particularly in R, Python, SQL, and be able to quickly learn new analytical tools such as PowerBi.
- Knowledge of Data Platforms: Have a good understanding of Spark & Hadoop and a good knowledge of forecasting, machine learning, and data modeling approaches.
- Desirable Skills: Possess a broad knowledge of Databricks and Heathrow/or any Airport is desirable.
- Team Working Skills: Demonstrate good team working skills and be able to manage and plan own work and to work under tight time deadlines.