8 of 8 Shiny Jobs in London

additional backend technologies (e.g., Python , MongoDB , Redis , Docker , OCI ) is a plus. Experience in marketing analytics, R/Python data science libraries, or deploying RShiny apps is a bonus. If you have the desired skills and experience and would like to find out more please apply to this advert by More ❯

additional backend technologies (e.g., Python , MongoDB , Redis , Docker , OCI ) is a plus. Experience in marketing analytics, R/Python data science libraries, or deploying RShiny apps is a bonus. If you have the desired skills and experience and would like to find out more please apply to this advert by More ❯

additional backend technologies (e.g., Python , MongoDB , Redis , Docker , OCI ) is a plus. Experience in marketing analytics, R/Python data science libraries, or deploying RShiny apps is a bonus. If you have the desired skills and experience and would like to find out more please apply to this advert by More ❯

or similar role involving data extraction, analysis, statistical modeling and communication experience PREFERRED QUALIFICATIONS - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Knowledge of AWS tech stack (e.g., AWS More ❯

great critical thinking skills Experience in using SQL and either R or Python to analyse data Previous experience of using visualisation software (e.g. Tableau, RShiny, Power BI, Looker) Able to present to stakeholders confidently and good stakeholder management skills. What you will get to work on .key outputs and responsibilities More ❯

tight deadlines. Desirable skills Commodity or macro markets exposure. Experience working with financial data and financial derivative products. Experience producing dashboards (Plotly Dash/Shiny) or other data visualisation methods. Interest in wider financial markets and global economics. Benefits Welcome to our unique workplace where a passion for our More ❯

Programming (ideally in the context of package development). Git and general code-management/documentation practices. Continuous improvement and continuous delivery practices. R Shiny & R Markdown. In addition, you may have experience of some of the following: Automated build and deployment pipelines. Automated test frameworks. Accessing external APIs More ❯

and experience in databases such as Oracle, Sybase, or Access would be beneficial; Proficiency in excel/VBA and programming languages: R/R Shiny (required), Python and C++; Exemplary communication skills that implement good listening techniques, and strong verbal skills with the ability to communicate across a wide … team. Preferred Qualifications Masters or advanced degree preferred; Knowledge of financial or credit risk modelling preferred; Proficiency in R language and the creation of shiny applications and dashboards; Persistent with a natural curiosity about credit markets and technical details. Competencies A self-starter who can work independently, but also More ❯