Digital Apprentice
Westminster City Council
London (SW1E 6QP)
Closes in 13 days (Monday 3 August 2026 at 11:59pm)
Posted on 20 July 2026
Contents
Summary
Data Technicians collect, process, format and present data securely to support business decisions. They analyse and combine data from multiple sources, communicate findings, follow legal and ethical standards, and work with stakeholders across sectors while maintaining data quality, security and awareness of emerging technologies.
- Wage
-
£28,260 a year
- Training course
- Data technician (level 3)
- Hours
-
Westminster City Coucil offers an agile, supportive hybrid environment combining office-based and remote working.
36 hours a week
- Start date
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Friday 18 September 2026
- Duration
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2 years
- Positions available
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1
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
We are seeking an enthusiastic and motivated apprentice to join our team, supporting colleagues to make better use of digital tools, data and insight to improve services for Westminster's communities.
Working alongside experienced colleagues, you will develop practical skills while contributing to a range of projects and day-to-day activities. Your responsibilities will include:
• Supporting the collection, organisation and maintenance of data to help inform decision making.
• Assisting with the creation of simple reports, dashboards and performance information.
• Learning how digital technologies, including Artificial Intelligence (AI), can be used responsibly to improve ways of working.
• Supporting colleagues to use digital tools effectively and confidently.
• Helping to identify trends and insights from data to support service improvements.
• Assisting with monitoring the impact of projects and initiatives using data and evidence.
• Working with different teams across the organisation to understand business needs and support digital improvement activities.
• Following data protection, information governance and ethical AI principles in all aspects of your work.
• Taking part in learning opportunities provided through the apprenticeship and Diverse Futures programme.
Where you'll work
Westminster City Hall
64 Victoria Street
London
SW1E 6QP
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BLUE SKY ASSESSING & CONSULTANCY LTD
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
Training takes place online once a month
Requirements
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
- Problem solving skills
- Administrative skills
- Analytical skills
- Logical
- Team working
- Growth mindset
About this employer
Westminster City Council believes in creating a fair environment where people are born into a supportive and safe environment, grow and learn throughout their lives, build fantastic careers in world- leading industries, have access to high quality, affordable homes and retire into the community with dignity and pride.
We work together to adapt to the changing needs of our communities – resulting in a dynamic atmosphere where ambition, diversity and creativity are celebrated.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Graduates typically step into entry-level roles as Data Analysts, Reporting Analysts, or Database Technicians
Ask a question
The contact for this apprenticeship is:
BLUE SKY ASSESSING & CONSULTANCY LTD
Bita Mofidian
bmofidian@diversefutures.com
The reference code for this apprenticeship is VAC2000043800.
Apply now
Closes in 13 days (Monday 3 August 2026 at 11:59pm)