5 of 5 Shiny Jobs

R to bring data together from diverse sources and prepare for analysis using cleaning and preparation techniques extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would be More ❯

documentation, ensuring code is well annotated and accessible for team use. Assist in the development and upkeep of dashboards and digital observatories using tools such as Power BI, Streamlit, Shiny, Plotly or WordPress. Collaborate across the Data Science Lab and research groups, providing support to colleagues and contributing to a positive, inclusive team environment. Undertake ad hoc duties as More ❯

applications whilst transitioning to the company's Python-based tech stack.KEY REQUIREMENTS· Have Financial Services experience, ideally (Re)insurance experience· Highly skilled in R, with strong experience in R Shiny development.· Have strong Python development skills· Desire to learn and apply Azure, Azure DevOps and AI tools· Machine Learning and AI experience is preferred but not essential· Have a More ❯

and multitask between data analysis requests, tasks and projects.Skills Pro level Python R Track record working with complex datasets + integration across multiple systems Data Viz tools like R Shiny, Tableau Excellent communication skills Statistical analysis (hypothesis testing, statistical modeling, power analysis ) Git Very well organized Work exceptionally well in a fast-paced environment, and be able to multitask More ❯

communicate findings to colleagues to improve policies, practices and processes; . Support developments in the automation of report building, including the use of Open Source Software (eg R, R Shiny, Python) to build Reproducible Analytical Pipelines. . Offer advice on how analysis can shape strategy, service design, workforce requirements and organisational development and effectiveness; Please be aware that this More ❯