Data Scientist
Post Title: Data Scientist
Type of contract: Permanent
Rank/Grade: F
Salary: £50,330 per annum, plus £6,710 London Weighting, plus £200 London Weighting supplement per annum. *Pay Award Pending*
Directorate/Department: National Lead Force – Specifically:National Fraud Intelligence Bureau
Vetting level required: MV/SC
Location: Guildhall Yard East
This role is open to all Police Staff / external candidates who meet the essential criteria of the person spec, regardless of current grade.
The City of London Corporation is currently undergoing a programme to ensure that our pay and reward practices are competitive and equitable across the whole organisation to ensure that everyone has the opportunity to thrive in the work that we do.
Who are we?
The City of London Police is the designated National Lead Force for fraud and the National Police Chiefs Council Portfolio Lead for economic and cyber-crime and is responsible for Action Fraud and the National Fraud Intelligence Bureau. The City of London Police’s mission is to protect the public by preventing and disrupting fraud, economic and cyber-crime through capable, coordinated and effective policing.
The City of London Police is responsible for:
- Setting the national fraud policing strategy and leading and coordinating the police response to fraud
- Co-ordinating national fraud reporting, including through Fraud Report
- National triaging and allocation of fraud cases and intelligence
- Provide Intelligence support to investigation of nationally significant, serious and complex fraud
- Workforce development, including training, continuous professional development and dissemination of good practice across police forces
- Collation, interpretation and reporting of national fraud policing performance
The City of London Police is keen to promote flexible working and will, subject to operational policing requirements, proactively consider all applications to work flexibly.
The City of London Police is committed to equality of opportunities and continuously strive for inclusivity within our Force. We welcome applications from all sections of the community, particularly from those with disabilities and long-term conditions, those with Black, Asian and other Minority Ethnic backgrounds, female candidates, and LGBTQIA+ individuals.
About the role
The City of London Police are recruiting for a Data Scientist to join the Report Fraud department. This is a new and exciting that role has been created to improve City of London Police’s data science provision. This role provides an excellent opportunity to join the City of London Police, who lead the UK’s policing’s response to fraud and cybercrime whilst also supporting the overall force performance.
This post will be situated within Report Fraud Intelligence Services team which leads on the analysis and production of national fraud and cybercrime intelligence products. The intelligence team is split into three desks which analyse all the Home Office Crime Recording (HOCR) codes reported to Action Fraud. The role will work alongside intelligence analysts, researchers and crime reviewers to enable comprehensive understanding of the Report Fraud system and the requirements of those that are using it. The post will report to the Head of Intelligence Services for Report Fraud.
The role will include detangling data from a number of different policing sources and working in the areas of Intelligence and Performance. In order to improve the policing response to “big data,” this role recognises a need to organise data more efficiently. Data scientists with specific skillsets will allow policing to more accurately collate, structure and analyse large datasets. This is a semi-autonomous role which will require the candidate to work independently. This role will support analytical functions but not replace them by providing analysts and researchers with additional functionality. The role is not a strategic role but a technical one supporting wider strategic objectives. Key responsibilities include:
- Identifying business problems and resolving them through innovative analytical techniques
Requirements
Essential:
- Degree in relevant subject (e.g. applied maths, statistics, computer science) or proven work experience as a data scientist.
- Proven ability to select and use appropriate statistical and analytical techniques to help draw insight from a wide range of data applications including data mining, AI/ machine learning, algorithm building, automation and predictive modelling.
- Proven experience in the use of statistical modelling techniques such as regression, decision trees, neural networks, K-Means clustering, etc.
- A strong SQL background in querying and manipulating data is essential, including creating materialised views, functions, packages and stored procedures.
- Demonstrable coding and programming skills in additional languages such as R or Python.
Desirable:
- A postgraduate qualification in a relevant discipline, preferably with a statistical, mathematical or analytical focus.
- In-depth knowledge of police processes, systems and data
- Ability to design robust classification algorithms that can meet a business requirement using machine learning techniques.
- Experience in use of R or Python to enhance the analytics capability of Power BI.
- Experience of utilising AI and machine learning in Microsoft Azure.
This vacancy is open only to those who have the right to work in the UK.
If you would like to discuss the post in more detail, please contact India Ghosh or Amanda Wolf india.ghosh@cityoflondon.police.uk or Amanda.wolf@cityoflondon.police.uk
Selection Process
As part of the initial application process, you will be asked to evidence how your experience, skills, and knowledge demonstrate your ability to meet the person specification of the role.
The application and interview will be tested under Level 2 of the College of Policing Competency and Values Framework.
Please demonstrate in your application form, how you evidence experience of the Competency section of Competency & Values Framework (CVF). Please give examples for each of the six areas.
- We are Collaborative
- We Deliver Support and Inspire
- We take Ownership
- We are Innovative and Open Minded
- We are Emotionally Aware
- We Analyse Critically
Applicants who fail to address the skills/knowledge/experience of the job description will not be considered.
The closing date for applications is Friday 31 October 2025 23:59
Following shortlisting, successful candidates will be invited to attend a competency-based interview and a practical assessment.
We strive to ensure all our information and services are accessible to and useable by everyone. If you would like to receive any information in a different way, would like us to do anything differently to help you apply for our roles, or have any other questions, please get in touch with HR via hrservices@cityoflondon.police.uk
Benefits:
- LGPS Pension Scheme -Local Government Pension Scheme explained - Which?
- Access to Blue Light Card scheme -Welcome to Blue Light Card
- Discounts within the Square Mile specifically for City of London Police employees
- Free access to our Force Gym (with dedicated time for female colleagues throughout the week), Personal Training Instructors with a range of specialisms, and a large variety of fitness and wellbeing programmes
- 29 (delete as appropriate) days’ annual leave + bank holidays, increasing up to 34 days with continuous service
- Season Ticket Loans
- Cycle to Work Scheme
A diverse workforce improves the service we provide to our public by making us more approachable and relevant within our communities. This is why it’s vitally important that we recruit people from a wide range of communities and backgrounds with an understanding of cultural issues and a wide range of skills. We therefore particularly encourage female and people from Black, Asian and other Minority Ethnic communities to join us.
The way we work is changing. With a few exceptions most roles will be able to accommodate part time, job share and flexible working patterns. We can also offer hybrid working patterns of home and office-based shift patterns. Feel free to speak to us about any flexible working requirements.
The Force has a number of Staff Support Networks that can offer you support and advice. Applicants are very welcome to contact the networks directly if they need any support or ask any question before they apply. For further information on the networks and their contact details please visit: