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- Tasks: Create impactful data products like dashboards and reports using R in a secure Azure environment.
- Company: Join VE3, a forward-thinking organisation supporting public health initiatives.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a difference in public health while honing your data science skills.
- Qualifications: Proficiency in R and SQL, with experience in data product development.
- Other info: Collaborative team environment with strong focus on innovation and knowledge sharing.
The predicted salary is between 40000 - 50000 £ per year.
VE3 is seeking a Data Scientist to support the Public Health Agency (NI) in the development and maintenance of health data products and analytical outputs within the NI Health Analytics Platform (NIHAP). The role will focus primarily on developing dashboards, reports, applications, and reproducible analytical products using R within a secure Azure-based environment. The successful candidate will work under the direction of senior PHA staff, contributing to data product delivery, documentation, release support, and collaboration with Data Engineers, analysts, and wider health data stakeholders.
Key Responsibilities
- Develop data products including dashboards, reports, apps, and analytical outputs using R.
- Build and maintain solutions using tidyverse, RMarkdown, Quarto, and Shiny.
- Extract and process data from Azure Synapse and related databases using SQL.
- Deploy analytical products to Posit Connect.
- Contribute to and use internal PHA R packages and reusable code components.
- Work within PHA’s Jira Kanban workflow, updating tickets regularly and following client prioritisation.
- Attend daily 15-minute Teams stand-ups and collaborate closely with PHA and HSCDI colleagues.
- Support requirement gathering and stakeholder engagement with guidance from senior PHA staff.
- Occasionally present outputs and findings to wider health data consumers.
- Document datasets and data products in Purview and Confluence to support knowledge sharing.
- Work predominantly within the NIHAP production environment, with occasional testing support in other environments.
- Follow PHA deployment controls, governance processes, and cyber/information governance requirements.
Essential Skills And Experience
- Strong hands-on experience as a Data Scientist aligned to the DDaT Data Scientist role level.
- Strong proficiency in R for analytical product development.
- Practical experience with tidyverse, RMarkdown, Quarto, and Shiny.
- Good working knowledge of SQL, including writing simple extraction and transformation queries.
- Experience deploying or supporting deployment of products via Posit Connect.
- Experience working in Azure-based data environments, ideally including Azure Synapse.
- Experience using Git/Azure Repos, pull requests, and code review practices.
- Familiarity with Reproducible Analytical Pipelines principles.
- Experience working in Agile/Kanban delivery teams using tools such as Jira.
- Strong documentation skills using platforms such as Confluence and metadata/cataloguing tools such as Purview.
- Strong communication and collaboration skills, especially in multi-disciplinary data teams.
- Evidence of cyber security and information governance training, particularly relating to personal data.
Desirable Skills And Experience
- Previous experience in healthcare, public health, or regulated public sector data environments.
- Experience supporting users through Teams support channels.
Data Scientist employer: VE3
Contact Detail:
VE3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in public health or data science. Attend meetups, webinars, or even local events to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R projects, dashboards, and any analytical products you've developed. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios. Practice explaining your past projects and how you used tools like tidyverse and SQL to solve real-world problems.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with Azure and collaboration in Agile teams.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with R, SQL, and any relevant projects that showcase your skills in developing dashboards and analytical products. We want to see how you fit into our team!
Showcase Your Projects: Include specific examples of your work with tidyverse, RMarkdown, and Shiny. If you've deployed products using Posit Connect or worked in Azure environments, let us know! This helps us understand your hands-on experience.
Keep It Clear and Concise: When writing your application, be clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to your skills and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at VE3
✨Know Your R Inside Out
Make sure you brush up on your R skills before the interview. Be ready to discuss how you've used R for developing dashboards and reports, and be prepared to showcase any projects where you've implemented tidyverse, RMarkdown, or Shiny.
✨Familiarise Yourself with Azure
Since the role involves working in an Azure-based environment, it’s crucial to understand Azure Synapse and how to extract and process data from it. Have examples ready of how you've worked with Azure in the past, especially if you've deployed products via Posit Connect.
✨Show Off Your Collaboration Skills
This position requires strong communication and teamwork. Think of instances where you've collaborated with data engineers or analysts, and be ready to discuss how you contributed to a project using Agile/Kanban methodologies, particularly with tools like Jira.
✨Prepare for Technical Questions
Expect technical questions related to SQL and reproducible analytical pipelines. Brush up on writing extraction and transformation queries, and be ready to explain how you ensure your analytical products are reproducible and well-documented.