6 of 6 R Jobs in Stevenage

R & Shiny Engineer Whitehall Resources require an R & Shiny Engineer to work with a key client on a 6 month initial contract. *This role will require on site work in Stevenage 2 days per week. *Inside IR35. R & Shiny Engineer Your responsibilities: . Design, develop, test and deploy interactive R … Shiny web applications. . Worked on R packages like Data.Table, dplyr, tidyr, ggplot2, shiny dashboard among others. . Write clean, efficient and well documented R code, conduct R code reviews and R programming validation . Implement unit tests and ensure the quality and performance of applications. . Benchmark and optimize … testing, build, deployment, CI/CD, etc. . Understanding of testing strategies & frameworks (Understanding of BDD/Gherkin) Essential skills/knowledge/experience: R Data structures (vectors, lists, matrices, dataframe)/Data manipulation and cleaning using dplyr/Data manipulation and cleaning using dplyr/Data visualization using ggplot2 More ❯

automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics More ❯

automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics More ❯

automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics More ❯

Job Opportunity: R & Shiny Engineer (Contract) Life Sciences Unit Location: Hybrid Stevenage (preferred) or London, UK Contract Duration: 6 months initially Rate: Competitive DOE, inside IR35 Hybrid Working: Minimum 2 days per week on-site About the Role Our client is seeking two skilled R Engineers with strong expertise in … R, Shiny, and R Markdown to join their team in the Life Sciences sector. Youll play a key role in building interactive, robust, and scalable web applications that help drive impactful insights in a data-driven environment. Key Responsibilities Design, develop, test, and deploy interactive R Shiny web applications. Work … with R packages such as Data.Table, dplyr, tidyr, ggplot2, and Shiny dashboards. Write clean, efficient, and well-documented R code; conduct code reviews and validations. Implement unit testing and ensure application performance and reliability. Benchmark and optimize performance across applications. Identify and resolve data inconsistencies and reporting issues. Translate complex More ❯

Job Opportunity: R & Shiny Engineer (Contract) Life Sciences Unit Location: Hybrid Stevenage (preferred) or London, UK Contract Duration: 6 months initially Rate: Competitive DOE, inside IR35 Hybrid Working: Minimum 2 days per week on-site About the Role Our client is seeking two skilled R Engineers with strong expertise in … R, Shiny, and R Markdown to join their team in the Life Sciences sector. Youll play a key role in building interactive, robust, and scalable web applications that help drive impactful insights in a data-driven environment. Key Responsibilities Design, develop, test, and deploy interactive R Shiny web applications. Work … with R packages such as Data.Table, dplyr, tidyr, ggplot2, and Shiny dashboards. Write clean, efficient, and well-documented R code; conduct code reviews and validations. Implement unit testing and ensure application performance and reliability. Benchmark and optimize performance across applications. Identify and resolve data inconsistencies and reporting issues. Translate complex More ❯