Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Regional Compliance & Data Quality Support Officer

Ministry of Justice
Bristol
4 days ago
Create job alert
Role Overview

The Compliance and Data Quality Support Officer will support HMCTS’ compliance requirements and data quality under the leadership of the Regional Support Unit (RSU). The role reports to the Regional Performance Lead and provides consistent administrative and analytical support to embed compliance and data quality reporting within a region.


Responsibilities

  • Act as the first point of contact for frontline staff, providing advice, resolving issues and escalating key findings.
  • Monitor the completion of data quality activity reports on a weekly, monthly and quarterly basis and produce management information and insights.
  • Develop and maintain a virtual community of frontline staff to support and guide data quality reporting.
  • Identify trends and issues that require resolution and communicate findings to the Regional Performance Lead.
  • Liaise with other Compliance and Data Quality Support Officers to provide responses to queries.
  • Provide advice and guidance on compliance and data quality matters; decide when to escalated to senior staff.
  • Support the Regional Delivery Director and Service Owner in improving compliance and quality across the region.

Working Arrangements

Hybrid working arrangements are available. Employees are expected to spend a minimum of 60% of their working time in an office. The role is based at an HMCTS site in the South West Region, with occasional travel across the region.


Benefits

  • Paid annual leave – 25 days on appointment, increasing to 30 days after five years.
  • Pension scheme provided by the Civil Service.
  • Access to training and employee networks, including support for minority and disabled staff.

As a Disability Confident employer, MoJ are committed to providing everyone with the opportunity to demonstrate their skills, talent and abilities, by making adjustments throughout all elements of the recruitment process and in the workplace.


The Civil Service Code sets out the standards of behaviour expected of civil servants.


#J-18808-Ljbffr

Related Jobs

View all jobs

Regional Compliance & Data Quality Support Officer

Senior Director AI & Data Governance

Senior Director AI & Data Governance

Corporate Complaints Data Analyst

Senior Biostatistician

Senior Biostatistician

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.