Apprentice Innovation and Data Assistant

North Lincolnshire Council

Scunthorpe (DN15 6NL)

Closes in 11 days (Saturday 22 November 2025)

Posted on 10 November 2025

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Summary

Are you passionate about technology and eager to kickstart a career in digital innovation? Join our forward-thinking Innovation and Data Technology team as an Apprentice Innovation and Data Assistant. This is a fantastic opportunity to gain hands-on experience while studying towards a recognised qualification.

• Wage:

  £14,526.20 to £23,492.04, depending on your age

  National Minimum Wage

  Check minimum wage rates (opens in new tab)

  The pay may be negotiated and may rise after a probation period has been successfully completed.

• Training course: Data technician (level 3)
• Hours: Monday to Friday, 9.00am - 5.00pm.

  37 hours a week

• Start date:

  Friday 2 January 2026

• Duration:

  2 years

• Positions available:

  2

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

• To assist in developing and promoting the provision and use quality and accurate data, including Geographical information across the Council
• Support the sharing of data across the Council and the wider public sector context to enable decisions to be taken based on robust intelligence
• Help maintain the Councils repository of data and intelligence to ensure the accurate and timely provision of quality data
• To help in providing documentation and maintaining data definitions, data lineage and data governance policies and procedures
• Perform data analysis on Council datasets to enable data driven decisions

Where you'll work

Church Square House 30-40
High Street
Scunthorpe
DN15 6NL

Training

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

Training provider

MULTIVERSE GROUP LIMITED

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

Data  Technician Level 3 Apprenticeship Standard:

• An apprenticeship includes regular training with a college or other training organisation
• At least 20% of your working hours will be spent training or studying
• Training will be online and weekly

More training information

• Let the company know about other relevant qualifications and industry experience you have
• They can adjust the apprenticeship to reflect what you already know

Requirements

Essential qualifications

GCSE in:

• English (grade 4 or above)
• Maths (grade 4 or above)

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
• Analytical skills
• Team working

About this employer

North Lincolnshire Council have an aspiration to make North Lincolnshire the best place to live, work, visit and invest. We have built a strong working relationships in the pursuit of the realisation of this ambition and have delivered many successful employment and skills programmes over recent years, working hard to secure positive outcomes for our residents.

Company benefits

Up to 28 days of annual leave and bank holiday entitlement (pro rata). Local Government pension scheme. Staff discounts and salary sacrifice schemes. Learning and development opportunities.

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

• On successful completion of the apprenticeship you will gain employment as a Data and Innovation Assistant

Ask a question

The contact for this apprenticeship is:

North Lincolnshire Council

Matthew Fisher

matthew.fisher@northlincs.gov.uk

The reference code for this apprenticeship is VAC1000350474.

Apply now

Closes in 11 days (Saturday 22 November 2025)

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