1 to 25 of 28 Permanent Shiny Jobs

Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative More ❯

or similar role involving data extraction, analysis, statistical modeling and communication experience PREFERRED QUALIFICATIONS 3+ 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 Master's degree in a quantitative field 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 ❯

e.g., SQL). Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing. Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way. Strong communication and interpersonal skills, with a passion for continuous learning and personal development. More ❯

e.g., SQL). Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing. Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way. Strong communication and interpersonal skills, with a passion for continuous learning and personal development. 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 ❯

including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and R Shiny Data quality tools such as SAS Data Management Studio Data Fabric tools, including some or all of the following: Pentaho Data Integrator and Talent More ❯

including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and R Shiny Data quality tools such as SAS Data Management Studio Data Fabric tools, including some or all of the following: Pentaho Data Integrator and Talent More ❯

including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and R Shiny Data quality tools such as SAS Data Management Studio Data Fabric tools, including some or all of the following: Pentaho Data Integrator and Talent More ❯

/Github is expected; familiarity with PySpark and Snowpark will be a strong plus Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial Strong communication and presentation skills. Team-player and collaborative ("copy-left" vs More ❯

/Github is expected; familiarity with PySpark and Snowpark will be a strong plus Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial Strong communication and presentation skills. Team-player and collaborative ("copy-left" vs 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 ❯

of simulations and sampling techniques such as Monte Carlo, Latin Hypercube, Markov Chain, etc. Knowledge of programming languages and tools such as Python, R, Shiny, and Jupyter Notebooks. Provide professional and scientific expertise in performance of work requiring knowledge and application of mathematics, statistical analysis, modeling/simulation, and More ❯

Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle More ❯

Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle More ❯

Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle More ❯

Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle More ❯

Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle More ❯

Updated: April 10, 2025 Location: United Kingdom-Europe - GBR-Home-Based Job ID: Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to 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 ❯

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 ❯

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 ❯

services Skilled in least one of the following to develop custom geospatial applications, including Esri APIs where relevant: Python, JavaScript, SQL, and R/Shiny Proficient in utilising Microsoft Azure services for cloud-based solutions (or similar) Successfully leading a small team to deliver technical tasks and geospatial services More ❯

practices to ensure the performance and supportability of our applications, while keeping obsessed with user experience and best practices in data communication. We apply Shiny application for appropriate use cases at the right data maturity level, and make sure organisations get the most out of Shiny. As a Data … Scientist, you will have the opportunity to: Join our Shiny Community to share knowledge and grow together Work as part of a multi-skilled delivery team on customer engagements Quickly learn and apply skills to real business challenges Contribute to a collective knowledge pool and gain appreciation Work on … offerings and get certified Attend and present in high profile conferences Contribute to open-source projects Responsibilities Primary Duties Implement scalable and enterprise grade Shiny solutions and support end-to-end pipelines Develop high quality R packages as needed either as Shiny apps or to facilitate the apps More ❯