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

Apply Now

Data Analyst | NHS Counter Fraud Authority

NHS Counter Fraud Authority
Newcastle upon Tyne
3 days ago
Create job alert
Overview

The NHS Counter Fraud Authority (NHSCFA) is the national body responsible for all matters relating to the prevention, detection and investigation of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website.


The Data Analyst is a role designed to provide a comprehensive information management service in support of all directorates of the organisation and external clients of the Information Analytics Team. The post holder will be responsible for delivery of the Information Analytics Business Plan, collating and organising data, and findings, across several priority projects and in response to requests from internal and external stakeholders.


Successful candidates invited to interview will be required to complete an analytical test prior to attending the interview. This is a fixed Term Contract until 31st March 2026. The post holder will be required to have a NPPV2. Potential applicants can contact Ji Lamey at for an informal chat if you have any questions regarding the role. We reserve the right to close this vacancy before the advertised closing date should we receive a significant number of applications. Interviews will be held w/c 27th October 2025. Previous applications need not apply.


Role and responsibilities

  • To work as part of the Information Analytics Team and provide support in delivering NHS CFA’s business plan objectives.
  • Providing an analytical service to all parts of the organisation by analysing data and interpreting and reporting on the results.
  • Undertaking complex statistical analyses requiring accuracy, attention to detail and frequent, prolonged periods of concentration.
  • Communicating analytical and statistical matters to non-analytical/statistical professionals, offering advice and persuasion on statistical techniques.
  • Dealing with statistical and analytical queries, assessing whether analyses are robust e.g., investigating data anomalies identified during analyses.
  • Establishing deadlines and provide ongoing communication of progress to keep projects on track and on time.

Qualifications and requirements

  • Fixed-term contract until 31 March 2026.
  • Experience in information management, data analysis and reporting across multiple priority projects.
  • Analytical test required for interview stage.
  • Minimum requirement of NPPV2 security clearance for the post.
  • Eligible to work in the UK and able to participate in sponsors, if applicable. NHSCFA does not hold a sponsor licence.

Working arrangements and benefits

  • Offices in Coventry, Newcastle and London with flexible, hybrid, office and home-based working.
  • London-based roles may attract High-Cost Area Supplement where appropriate.
  • NHSCFA values diversity and aims to recruit a workforce reflecting diverse communities. Applications are welcome irrespective of age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances.
  • Policies ensure fair and consistent treatment at every stage of the recruitment process, including consideration of reasonable adjustments for people who have a disability.
  • Secondment: agreement to being released from current role in principle prior to submitting an application form.
  • When applying, you will be redirected to our recruitment system TRAC.

Notes

  • The NHSCFA reserves the right to close this vacancy early if a high volume of applications is received.
  • The NHSCFA does not hold a sponsorship licence for skilled worker visas.
  • Advert closes on Sunday 12 October 2025.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst | Homerton Healthcare NHS Foundation Trust

Data Analyst | Moorfields Eye Hospital NHS Foundation Trust

CITI Data Analyst - Improving Together | Guy's and St Thomas' NHS Foundation Trust

Data Analyst

Data Scientist Mood Clinic | Mersey Care NHS Foundation Trust

Data Engineer | St George's University Hospitals NHS Foundation Trust

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.

Jobs

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.