Minimum Requirement:
- Understanding impact of non-pharmaceutical Interventions.
- Identification of clusters.
- Describing prevalence to inform policy response.
- Deployment of models, many with close engagement with academic partners.
Key Skills
- Working at pace to deadlines across multiple projects.
- Working effectively within a team.
- Working with complex data and information feeds to draw sound conclusions.
- Python / R experience for Data Science including the core scientific Python (or R equivalent) stack (pandas, numpy, jupyter, matplotlib etc.).
- Working with cloud-based platforms, such as AWS, Azure.
- Understanding of data manipulation, assessment and explatory analysis.
- Experience with computational statistics tools and / or Machine Learning frameworks such as PyTorch and TensorFlow.
- Data visualisation and dashboarding tools to effectively inform stakeholders and senior decision makers.
- Understanding and following best practises in key areas such as quality assurance, coding standards and version control.
- Seeing data products, projects or services through from initial discovery to mature, successful implementation.
- Identifying and applying the most appropriate data science solution to unstructured business problems.
