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- Tasks: Develop interactive R Shiny applications and perform data analysis to derive actionable insights.
- Company: Brio Digital is dedicated to building great data teams globally.
- Benefits: Enjoy remote work flexibility while collaborating with diverse teams.
- Why this job: Join a dynamic team and transform complex data into impactful solutions.
- Qualifications: Strong R programming skills, experience in data visualization, and statistical analysis required.
- Other info: This is a 3-month contract with potential for extension; UK-based applicants only.
The predicted salary is between 36000 - 60000 £ per year.
Direct message the job poster from Brio Digital
They call me ‘Data Dom’ – Building Great Data Teams Globally
Role: Data Scientist (R Shiny)
Duration: 3m (With extension to follow)
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 for more information.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Science and Information Technology
Industries
Public Policy Offices and IT Services and IT Consulting
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Data Scientist employer: Brio Digital
Contact Detail:
Brio Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your R Shiny projects in your portfolio. Highlight any interactive dashboards you've developed, as this will demonstrate your hands-on experience and ability to create data visualizations that are both functional and user-friendly.
✨Tip Number 2
Engage with the data science community on platforms like LinkedIn or GitHub. Share your insights on R programming and data visualization, and connect with professionals who might have insights about the role or the company.
✨Tip Number 3
Prepare to discuss specific examples of how you've used statistical analysis and machine learning in past projects. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Familiarize yourself with the latest trends in data visualization and dashboard design. Being able to discuss current best practices and tools will show that you're not only skilled but also passionate about the field.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R programming and R Shiny application development. Include specific projects where you've utilized data visualization libraries like ggplot2 or plotly.
Craft a Compelling Cover Letter: In your cover letter, emphasize your statistical analysis skills and your ability to communicate complex data insights to non-technical stakeholders. Mention any relevant experience with machine learning and predictive modeling.
Showcase Your Projects: If you have developed R Shiny applications or worked on data visualization projects, include links or descriptions of these in your application. This will demonstrate your practical skills and creativity.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, mention any past experiences where you collaborated with others to achieve a common goal. This shows your ability to work well in a team environment.
How to prepare for a job interview at Brio Digital
✨Showcase Your R Shiny Skills
Make sure to highlight your experience with R Shiny applications during the interview. Prepare examples of projects where you've developed interactive dashboards and be ready to discuss the challenges you faced and how you overcame them.
✨Demonstrate Data Visualization Expertise
Since data visualization is a key part of the role, bring along some visualizations you've created using libraries like ggplot2 or plotly. Be prepared to explain your design choices and how they helped convey insights effectively.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis, machine learning, and data manipulation. Brush up on these topics and be ready to discuss your approach to solving complex data problems.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to present findings to non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between data science and business needs.
