Data Scientist

VE3; Maidenhead; Presencial; GBP 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive Salary

Private Medical Insurance

Salary Sacrifice Vehicle Scheme

Hybrid and Flexible Working

Learning and Development

Career Progression

Innovative Projects

Collaborative Culture

Descripción de la vacante

VE3 is seeking a Data Scientist for the development and maintenance of health data products within the NIH Health Analytics Platform (NIHAP). The role focuses on dashboards, reports, and applications using R in a secure Azure-based environment.

You will work with data engineers, analysts and stakeholders, contributing to data product delivery, documentation, and reproducible workflows. Proficiency in tidyverse, RMarkdown, Quarto, Shiny, SQL, and deploying to Posit Connect is required.

Formación

• 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 Confluence and Purview.
• Strong communication and collaboration skills in multi-disciplinary data teams.
• Evidence of cyber security and information governance training.

Responsabilidades

• Develop dashboards and reports using R within NIHAP environment.
• Build and maintain dashboards, reports, apps, and analytical outputs.
• Deploy analytical products to Posit Connect.
• Collaborate with Data Engineers, analysts and stakeholders.
• Document datasets and data products in Purview and Confluence.
• Work in production environments with testing support.
• Follow deployment controls and governance requirements.
• Attend daily Teams stand-ups and track Jira tickets.

Conocimientos

Data Scientist

R

tidyverse

SQL

Git/Azure Repos

Jira

Confluence

Purview

Azure Synapse

Posit Connect

Herramientas

Azure Synapse

SQL

Posit Connect

Jira

Confluence

Purview

Azure Repos

Descripción del empleo

Maidenhead, United Kingdom | Posted on 20/10/2026

VE3 is a technology and business consultancyfocused on delivering end-to-end technology solutions and products. We havesuccessfully serviced enterprises across multiple markets, including the publicand private sectors. Our services span all aspects of business, providing aholistic approach to managing an organization. We are committed to providingtechnical innovations and tools that empower organizations with criticalinformation to facilitate decision-making that results in businesstransformation through cost savings and increased operational efficiency. Ourcommitment to quality is adopted throughout the organization and sets thefoundation for delivering our full suite of capabilities.

Job Description

Role: Data Scientist

Role Overview

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 andmaintainsolutions 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.

Workpredominantly withinthe production environment , with occasional testing support in other environments.

Follow 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 communicationand 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.