Role; Data Scientist (R Shiny)
Duration; 3m (With extension to follow)
Rate; £400/day Inside Ir35
Location; Remote (Must be UK Based)
Role Overview:
We are seeking a highly skilled Data Scientist with expertise in R Shiny. The ideal candidate will have a strong background in statistical analysis, data visualization, and interactive dashboard development. You will be responsible for designing and implementing data solutions that transform complex datasets into actionable insights.
Key Responsibilities:
* Develop and maintain interactive R Shiny applications for data visualization and reporting.
* Perform data analysis, statistical modeling, and machine learning to derive insights.
* Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
* Optimize and scale R Shiny applications for performance and usability.
* Clean, preprocess, and manipulate large datasets to ensure high-quality outputs.
* Communicate findings and insights through reports, presentations, and dashboards.
Required Qualifications & Experience:
* Strong proficiency in R programming with a focus on Shiny application development.
* Experience with data visualization libraries (ggplot2, plotly, leaflet, etc.).
* Knowledge of statistical analysis, machine learning, and predictive modeling.
* Familiarity with SQL, NoSQL, and/or cloud-based databases.
* Experience working with APIs and data integration.
* Understanding of UI/UX principles for interactive dashboards.
* Strong problem-solving skills and ability to work independently or in a team.
* Excellent communication skills for presenting complex data insights to non-technical stakeholders.
Preferred Skills (Nice to Have):
* Experience with Python, Power BI, or Tableau.
* Knowledge of big data technologies (Spark, Hadoop).
* Exposure to cloud platforms (AWS, GCP, Azure) for data deployment.
* Understanding of DevOps practices and version control (Git, Docker, CI/CD).
Apply now or email dom@briodigital.io for more information.