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- Tasks: Create impactful dashboards and analytical products using R in a secure Azure environment.
- Company: Join VE3, a leader in health data analytics with a focus on public health.
- Benefits: Gain hands-on experience, collaborate with experts, and contribute to meaningful health projects.
- Why this job: Make a difference in public health while developing your data science skills.
- Qualifications: Proficiency in R, SQL, and experience in Agile teams are essential.
- Other info: Dynamic role with opportunities for growth and collaboration in a supportive environment.
The predicted salary is between 35000 - 45000 £ 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 in London employer: VE3
Contact Detail:
VE3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the Public Health Agency or similar organisations. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your R projects, dashboards, and any analytical products you've developed. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and R knowledge. Be ready to discuss how you've used tidyverse, RMarkdown, and Shiny in real-world scenarios. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly 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 world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about public health data and how your background aligns with our needs. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! If you've worked with tidyverse, RMarkdown, or Azure, give us examples of how you've used these tools in real projects. We’re keen to see your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just a few clicks and you’re done!
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 analytical products, and have examples of your work handy. This will show that you're not just familiar with the language but can also apply it effectively in real-world scenarios.
✨Familiarise Yourself with Azure and SQL
Since the role involves working in an Azure-based environment and using SQL, it's crucial to demonstrate your understanding of these technologies. Prepare to talk about your experience with Azure Synapse and how you've written SQL queries for data extraction and transformation. A practical example can really make you stand out!
✨Show Off Your Collaboration Skills
This position requires working closely with various stakeholders, so be prepared to discuss your experience in collaborative environments. Think of specific instances where you've worked in Agile/Kanban teams or used tools like Jira. Highlighting your communication skills will show that you're a team player who can thrive in a multi-disciplinary setting.
✨Prepare for Technical Questions
Expect some technical questions related to reproducible analytical pipelines and deployment processes. Brush up on best practices for documentation and governance, especially in relation to cyber security. Being able to articulate your knowledge in these areas will demonstrate your readiness for the role and your commitment to maintaining high standards.