Data Scientist

Ve3 Global

Taplow

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Competitive Salary
Private Medical Insurance
Salary Sacrify Vehicle Scheme
Hybrid and Flexible Working
Learning and Development
Career Progression
Innovative Projects
Collaborative Culture

Job summary

VE3 Global is seeking a Data Scientist to develop and maintain health data products within the NIHAP environment. The role focuses on dashboards, reports, apps, and reproducible analytics using R in an Azure-based secure setting.

Collaborate with Data Engineers, analysts, and stakeholders, contribute to data product delivery, documentation, release support, and Agile/Kanban teams. Strong R skills and experience with Azure Synapse and Posit Connect are preferred.

Qualifications

  • 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 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.

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 R packages and reusable code components.
  • Work within Jira Kanban workflow, updating tickets regularly and following client prioritisation.
  • Attend daily Teams stand-ups and collaborate closely with colleagues.
  • Support requirement gathering and stakeholder engagement with guidance from senior 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 production environment, with occasional testing support in other environments.
  • Follow deployment controls, governance processes, and cyber/information governance requirements.

Skills

R programming
Data Scientist
Communication
Agile/Kanban
Documentation
Cyber security

Tools

Azure Synapse
Posit Connect
Git/Azure Repos
Jira
Confluence
Purview
R packages

Job description

VE3 is seeking a Data Scientist for 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 client staff, contributing to data product delivery, documentation, release support, and collaboration with Data Engineers, analysts, and wider health data stakeholders.

Requirements
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 R packages and reusable code components.
  • Work within Jira Kanban workflow, updating tickets regularly and following client prioritisation.
  • Attend daily 15-minute Teams stand-ups and collaborate closely with colleagues.
  • Support requirement gathering and stakeholder engagement with guidance from senior 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 production environment, with occasional testing support in other environments.
  • Follow deployment controls, governance processes, and cyber/information governance requirements.
Requirements
  • 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.
  • Familiarity with Azure virtual machine architectures.
  • Experience contributing to internal analytical libraries or shared code packages.
  • Experience presenting data products to non-technical or mixed audiences.

At VE3 Global, we recognise that our people are central to our success. We aim to provide a supportive working environment alongside a competitive benefits package.

Our employee benefits may include, subject to role eligibility and applicable company policies:

  • Competitive Salary: An attractive remuneration package reflecting your skills and experience.
  • Private Medical Insurance: Access to private healthcare benefits, subject to scheme eligibility.
  • Salary Sacrify Vehicle Scheme
  • Hybrid and Flexible Working: Flexible working arrangements, depending on client and project requirements.
  • Learning and Development: Opportunities for technical training, certifications and continuous professional development.
  • Career Progression: Opportunities to develop your expertise and progress within our growing Data, AI and Cloud practices.
  • Innovative Projects: Exposure to modern technologies and challenging digital transformation programmes.
  • Collaborative Culture: An inclusive, supportive and knowledge-sharing working environment.
  • Specific benefits and entitlements will be confirmed as part of the employment offer and contract.
Equality, Diversity and Inclusion

VE3 Global is committed to creating an inclusive and diverse workplace. We welcome applications from individuals of all backgrounds and are committed to providing equal opportunities throughout our recruitment and employment processes.

We value different perspectives, experiences and skills, recognising that diversity strengthens innovation and collaboration.

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