Data Analytics Specialist

Role overview

Duties

• Build R and Python scripts and applications, including with Shiny and Django, for audit and counter-fraud investigation work.
• Produce and present reports and visualizations of analysis outputs.
• Document and maintain code collaboratively using DevOps and Git.
• Improve scripts, packages, pipelines, applications, and quality assurance processes.
• Lead analytics training and capability-building activities across the agency.
• Explore new analytics approaches with government and private-sector data teams.
• Use LLMs and AI models and develop tools for safe, effective AI use.
• Research innovative analytics techniques and apply them to improve agency efficiency.

Person specification

• Experience interpreting customer needs and conducting advanced analytics using R or Python.
• Ability to explain complex analytical results to non-specialists.
• Ability to connect business problems to analytical solutions and research new methods.
• Strong organization, project leadership, stakeholder relationship, and customer relationship skills.
• Experience in at least two areas: Quarto outputs, R/Python web applications, AI products, Azure environments, or business-critical models.

Location and working arrangements

• Contractual location must be one of the advertised locations and within reasonable daily commuting distance.
• Employees are expected to maintain a regular presence at their contractual location and travel to other agency locations or client sites for critical meetings and field assignments.
• Working patterns listed include flexible working, full-time, job share, and part-time.

Compensation

• Salary is £60,468–£70,510, with a separate London range of £64,589–£75,151.
• The role offers a Civil Service Pension with an employer contribution of 28.97%.

Appointment details

Application

• Applicants submit employment history, personal details, and a statement of suitability of no more than 750 words; only that statement is assessed at sift.
• Interviews will be held on Teams.