Learning & Development Data Assistant Apprentice

SOUTH WESTERN RAILWAY LIMITED

Southampton (SO15 1AL)

Closes in 31 days (Friday 31 October 2025)

Posted on 29 September 2025

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Summary

We are looking for an enthusiastic and well-organised individual to join our People & Culture team as an Apprentice Data Assistant. This is an exciting opportunity to gain hands-on experience in a dynamic environment, offering support to a crucial department within our organisation.

Wage

Competitive

Competitive wage offered

Check minimum wage rates (opens in new tab)

Salary increase on successful completion of first year

Training course
Data technician (level 3)
Hours
Monday to Friday, shifts to be confirmed.

37 hours a week

Start date

Monday 14 September 2026

Duration

2 years

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

  • Provide day-to-day administrative support to the People & Culture team
  • Create and update spreadsheets and produce reports using Power Bi
  • Attend meetings and take notes, minutes and actions
  • Assist with document management, electronic filing systems and data entry tasks
  • Support internal communication by liaising with team members and other departments
  • Respond to routine enquiries and provide accurate information to colleagues

Where you'll work

Overline House
Blechynden Terrace
Southampton
SO15 1AL

Training

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

Training provider

APPRENTIFY 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

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Desirable qualifications

GCSE 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
  • Team working
  • Flexibility

About this employer

South Western Railway (SWR) operates over 1,500 services each weekday across the network and employs more than 5,000 people. We provide easy and convenient mobility, connecting people and communities in South West London, southern counties of England, and the Isle of Wight.

https://careers.southwesternrailway.com/jobs/search (opens in new tab)

Company benefits

Free duty and leisure travel on SWR services for employees. Free leisure travel for spouse/partner and dependants (criteria dependent). 75% discount on many other train operating companies. Excellent pension scheme.

Disability Confident

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

Multiple opportunities to progress within the company on completion of this apprenticeship.

Ask a question

The contact for this apprenticeship is:

APPRENTIFY LIMITED

swrapprenticeships@swrailway.com

The reference code for this apprenticeship is VAC1000344234.

Apply now

Closes in 31 days (Friday 31 October 2025)

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