Service Manager Apprentice

Magellan

Nottingham (NG9 1LA)

Closes in 27 days (Friday 20 November 2026)

Posted on 23 October 2026

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Contents

Summary

This role is designed for a motivated individual who wants to launch a career in Service Management. You will train towards a nationally recognised qualification while supporting our team with client projects, team activities and business operation opportunities.

Wage

£23,088 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Days and shifts to be confirmed.

37 hours 30 minutes a week

Start date

Friday 27 November 2026

Duration

1 year 5 months

Positions available

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

  • Support the Service Manager in coordinating daily service activities and ensuring services are delivered safely, efficiently, and to the required standard.
  • Assist with allocating work, monitoring workloads, and following up on service requests or operational issues.
  • Help maintain accurate service records, schedules, reports, and documentation.
  • Identify routine issues affecting service delivery and escalate them appropriately.
  • Act as a professional first point of contact for customers, service users, colleagues, suppliers, and other stakeholders.
  • Respond to enquiries, feedback, and complaints promptly and courteously, referring complex matters to the appropriate manager.
  • Support activities designed to improve customer satisfaction and service quality.
  • Help gather and analyse feedback to identify opportunities for improvement.
  • Provide administrative and practical support to the service team.
  • Assist with arranging team meetings, preparing agendas, recording actions, and monitoring progress.
  • Promote positive working relationships, inclusion, and effective teamwork.
  • Assist in monitoring key performance indicators, service standards, and operational SLA/KPI targets.
  • Help prepare reports, dashboards, and presentations for management meetings.
  • Contribute ideas for improving processes, efficiency, customer experience, and ways of working.

Where you'll work

1 Beeston Business Park, Technology Drive
Beeston
Nottingham
NG9 1LA

Training

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

Training provider

QA 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

The programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts.

Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, well being, and readiness for assessments.

Requirements

Essential qualifications

GCSE in:

  • 3 of any subject (grade 4+ (A* - C))
  • Maths & English (grade 3+ (D or above))

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

Skills

  • Problem solving skills
  • Team working

About this employer

Magellan is a European consulting and technology group operating across 13 countries, with 6,700 employees and €900 million in revenue. We help public and private organisations deliver end-to-end transformation from strategic consulting to the design, deployment and 24/7 operation of secure digital platforms. With expertise across Microsoft, Salesforce, ServiceNow, Pega, SAP, AWS and Google, alongside strong in-house software development capabilities, we help organisations build scalable, resilient and AI enabled businesses. Our expertise spans transport and mobility, banking and insurance, public sector, healthcare, energy, defence, luxury and retail.

Company benefits

We're passionate about helping people build successful careers. Since 2020, we've recruited and developed more than 150 apprentices across the UK, earning recognition as Apprentice Employer of the Year and achieving Great Place to Work and Times Top 50 Employer for Gender Equality accolades. We believe talent comes from every background, so we focus on potential, enthusiasm and ambition, providing the support, opportunities and real-world experience needed to help our people thrive.

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Once your apprenticeship programme is complete, we aim, wherever possible, to offer permanent roles within the business. For those who are successful, we will continue to invest in your professional development through opportunities such as further qualifications, day-release courses and supported study during working hours.

Ask a question

The contact for this apprenticeship is:

QA LIMITED

The reference code for this apprenticeship is VAC2000060808.

Apply now

Closes in 27 days (Friday 20 November 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.