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 inR 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 interactiveR Shinyapplications 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 inR programmingwith a focus onShinyapplication development.
• Experience withdata visualization libraries(ggplot2, plotly, leaflet, etc.).
• Knowledge ofstatistical analysis, machine learning, and predictive modeling.
• Familiarity withSQL, NoSQL, and/or cloud-based databases.
• Experience working withAPIs and data integration.
• Understanding ofUI/UX principlesfor 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 withPython, Power BI, or Tableau.
• Knowledge ofbig data technologies(Spark, Hadoop).
• Exposure tocloud platforms(AWS, GCP, Azure) for data deployment.
• Understanding of DevOps practices and version control (Git, Docker, CI/CD).

Apply now or email for more information.