ANPR Apprentice Researcher

West Midlands Police

Birmingham (B6 5DD)

Closes in 20 days (Monday 18 August 2025)

Posted on 28 July 2025

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Summary

Do you see yourself utilising the latest technologies to combat crime in one of the largest police forces in the country? Automatic Number Plate Recognition (ANPR) is an integral tool used in policing to fight crime. West Midlands Police are investing heavily in this technological area and are recruiting ANPR research apprentices.

Wage

£26,937 a year

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Initial Assessments will be taking place week commencing August 11th. The salary starts at £26,937 moving to £27,747 on successful completion of your initial five weeks training.

Training course
Data analyst (level 4)
Hours
36.5 hours per week which involves 24/7 shift work. The posts attract shift working (20%) and weekend working (14%) allowances.

36 hours 30 minutes a week

Start date

Monday 1 September 2025

Duration

2 years 1 months

Positions available

5

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff. What you’ll do at work

Key Responsibilities:

  • Support the force's response to ANPR alerts by conducting thorough enquiries on ANPR and intelligence systems
  • Monitor and analyse trends and anomalies within ANPR data, reporting findings accurately and appropriately
  • Provide assistance in real time to roads policing officers, in line with the force's tactical priorities
  • Prepare and present regular ANPR reports and findings to supervisors To actively participate in meetings and briefings where appropriate. Assist in departmental reviews, audits, and inspection processes related to ANPR activities
  • Work closely with the Roads Policing Intelligence team within Operations to maintain competence and capability
  • Coordinate with Force Contact dispatchers and ANPR Tactical Officers on the same desk
  • To carry out any duties commensurate with the purpose and grading of the post that may from time to time be determined
  • Develop experience in ANPR and the use of ANPR data. Including the use of both NAS and Cleartone BOF. Part of your daily role will involve identifying cloned vehicles. Using enhanced ANPR tools such as Complex Alerts and Predictive Analysis
  • Develop and maintain relevant databases, spreadsheets, and filing systems to ensure accurate, up-to-date information on ANPR activities is available to relevant personnel
  • Run Business Insights queries on relevant systems to provide analytical support to the Road Policing Desk and Force Contact department, including collating and recording ANPR performance indicators and statistical data

Initial Assessments will be taking place the week commencing August 11th. The salary starts at £26,937, moving to £27,747 on successful completion of your initial five weeks' training. 

Where you'll work

199 Park Lane
Birmingham
B6 5DD

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

THE DEVELOPMENT MANAGER LTD

Training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select and apply the most appropriate data tools to achieve the optimum outcome
  • Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select and apply the most appropriate data tools to achieve the optimum outcome

Training schedule

West Midlands Police will train you and you will undertake a Level 4 Data Analyst Apprenticeship which will include: 

  • Fully recognised apprenticeship qualification - Level 4 Data Analyst
  • On-the-job competency training
  • Training will be delivered with monthly delivery sessions at the workplace by a vocational skills coach
  • This is an 18-month apprenticeship programme with a 25-month contract of employment
  • You will be assigned a mentor once you have completed your initial five-week training period

Requirements

Essential qualifications

GCSE or equivalent in:

  • English (grade 4)
  • Maths (grade 4)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Customer care skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Creative
  • Initiative
  • Non judgemental
  • Patience
  • Physical fitness

Other requirements

Vetting: Applicants will be required to pass Recruitment Vetting and Counter Terrorism Clearance scrutiny, which will include a full background & financial disclosure. Appointment to this role will be dependent upon successful medical checks, which may include a drug test and if required, a fitness test.

About this employer

West Midlands Police is the second largest police force in the country, covering an area of 348 square miles and serving a population of almost 2.8 million.

After this apprenticeship

Upon successful completion of the apprenticeship, you will be able to apply for permanent positions if there is one available, but there is no guarantee.

Ask a question

The contact for this apprenticeship is:

THE DEVELOPMENT MANAGER LTD

The reference code for this apprenticeship is VAC1000334196.

Apply now

Closes in 20 days (Monday 18 August 2025)

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