Data Scientist

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.

All your information will be kept confidential according to EEO guidelines.