Data Scientist

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.

Data Scientist Role

The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include:

1. 
   
2. Developing innovative models
   
3. Designing, applying, and optimising models in a dynamic environment
   
4. Project planning and using data to drive business objectives
   
5. Defining project directions to achieve financial targets
   
6. Leading model development and ensuring solutions meet business and government standards
   

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.

Additional Requirements

The post holder will be required to have an NPPV2 clearance.

Application and Contact Information

Potential applicants can contactSusan Proctorfor 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.

Interview Details

Interviews will be held online on 5th August 2025.

Role Responsibilities

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.

Technical Skills and Standards

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.

Location and Diversity

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.

Important Notice

The NHSCFA does not hold a sponsor license for skilled worker visas and cannot employ candidates requiring sponsorship.

Further Details

For further information or informal visits, contact:
Name: Susan Proctor
Job Title: Data Scientist SME Manager
Email:

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