emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with data analysis More ❯
Build simulation models to evaluate case flow and decision-making processes. Integrate models with secure data environments (e.g., LakeFS) for real-data simulations. Design and deliver interactive dashboards (e.g., Plotly Dash or Power BI) for scenario comparison and policy impact analysis. Conduct scenario analyses and produce regular reports for stakeholders. Ensure compliance with analytical quality assurance (AQA) and documentation standards. … Advanced Excel for analytical purposes (non-VBA). Proven experience in simulation modelling and forecasting. Ability to build and manage analytical pipelines. Expertise in data visualisation and dashboard development (Plotly Dash preferred). Ability to work in fast-paced, reactive environments. Excellent communication and collaboration skills. Desirable Skills SQL experience. Background in policy analytics, asylum modelling, or government data environments. More ❯
About this Position: This role involves leading data-driven initiatives to address complex business challenges through advanced analytics and machine learning. The successful candidate will collaborate across multidisciplinary teams, providing technical leadership and ensuring the delivery of accurate, high-quality More ❯
SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters Plotly Dash Key skills: Customizing with Plotly Graph Objects for advanced interactivity. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). REST APIs: Fetching or More ❯
