Data Analyst

Counter Fraud Authority; London; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

The NHS Counter Fraud Authority seeks a Data Analyst focused on using data analysis to detect and prevent fraud within the NHS. Success in this role means directly impacting patient care and effectively utilizing public resources through advanced analytics tools like Python, R, SQL, and Alteryx.

Qualifications

• Experience with advanced analytics tools is essential.
• Role requires expertise in data analysis within a fraud detection context.
• Ability to work with internal and external stakeholders is critical.

Responsibilities

• Analyze data to detect and prevent fraud, ensuring effective use of public funds.
• Develop methodologies and produce actionable insights based on data.
• Collaborate with partners to enhance fraud prevention capabilities.

Skills

Python

R

SQL

Alteryx

Job description

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The NHS Counter Fraud Authority 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.

Our new team are embarking on a piece of work to monitor data to identify and respond to patterns indicative of potential fraud. This will support our current work that reduces the likelihood of fraud occurring. We will bring in data science capabilities to be deployed in counter fraud activity and work closely with partners across health and government to further maximise the preventative impact of proactive counter fraud analysis. We will combine this with our range of counter fraud and domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field.

This role offers a unique opportunity to use data analysis to detect and prevent fraud within the NHS, directly impacting patient care and public funds. You'll work with advanced analytics tools like Python, R, SQL, and Alteryx to uncover hidden patterns and anomalies. Join a collaborative team where your insights drive real-world action against financial crime.

Potential applicants can contact Santosh Kumar at [e-mail] for an informal chat if you have any questions regarding the role.

Candidate who have recently applied for this role do not need to re-apply.

The role of the data analyst plays a key role within the programme of work, providing a comprehensive data and information expertise to the team in support the work undertaken together within the data science and respond team. The successful candidate will liaise with internal and external stakeholders to examine anomalies and patterns within data which could be indicative of fraud, being responsible for delivery of their workstream, including collating data, defining, and developing methodologies and producing actionable insight across several areas of concern.

The post holder will be required to have a NPPV2.

We have offices based in Coventry, Newcastle and London and offer flexible, hybrid, office and home-based working. In addition to the advertised salary working in the London area will attract High-Cost Area Supplement where appropriate. The NHSCFA values and respects the diversity of its employees and aims to recruit a workforce which reflects our diverse communities. We welcome applications irrespective of people's age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances. We have policies and procedures in place to ensure that all applicants are treated fairly and consistently at every stage of the recruitment process, including an invitation to the first stage of the selection process and consideration of reasonable adjustments for people who have a disability. If you are applying to undertake this role on a secondment basis you should have agreement to being released from your current role in principle, prior to submitting an application form. When you apply for this role, you will be redirected to our recruitment system TRAC. The NHSCFA does not hold a sponsor licence in respect of skilled worker visas and so is unable to employ candidates requiring sponsorship.

We reserve the right to close this vacancy before the advertised closing date should we receive a significant number of applications.

For further details / informal visits contact: Name: Santosh Kumar Job title: Principal Data Scientist Email address: [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Government Administration

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