Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
The NHS Counter Fraud Authority seeks a Data Scientist to enhance fraud detection through advanced analytics. This role involves model development, project leadership, and strong collaboration across teams to achieve the organisation's goals while adhering to government standards. Applicants should have a solid background in machine learning and statistical analysis.
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 Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include:
The role demands a deep understanding of data science, including machine learning, predictive modelling, and deep learning, to tackle complex challenges and extract actionable insights from diverse datasets.
The post holder will be required to have an NPPV2 clearance.
Potential applicants can contact Susan Proctor for an informal chat 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 online on 5th August 2025.
Collaboration across functions is essential to align data science initiatives with NHSCFA goals, ensuring accountability for innovative outcomes. The role involves embedding analytics into the organisation to enhance fraud detection within the NHS, utilizing advanced methods.
Effective communication of statistical outputs to non-technical stakeholders is crucial, influencing decisions on criminal intervention, policy changes, or risk metrics based on data-driven insights.
The role requires adherence to government data standards, ensuring transparency, integrity, and compliance. Responsibilities include preparing data for model development using techniques such as sampling, feature engineering, and normalisation, and leveraging advanced AI and machine learning techniques, including deep learning, while respecting privacy regulations.
We have offices in Coventry, Newcastle, and London, offering flexible, hybrid, office, and home-based working. We value diversity and aim to recruit a workforce reflecting our communities. Applications are welcome regardless of age, disability, gender, race, ethnicity, religion, sexual orientation, or personal circumstances.
Applicants applying on a secondment basis should have prior agreement to be released from their current role. When applying, you will be redirected to our recruitment system TRAC.
The NHSCFA does not hold a sponsor license for skilled worker visas and cannot employ candidates requiring sponsorship.
For further information or informal visits, contact:
Name: Susan Proctor
Job Title: Data Scientist SME Manager
Email: susan.proctor@nhscfa.gov.uk