Trainee Data Scientist Apprenticeship

Stoke-on-Trent City Council

Staffordshire (ST4 1HH)

Closes in 19 days (Monday 1 June 2026)

Posted on 12 May 2026

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Summary

The team work across a broad range of areas linked to statutory and non-statutory duties which protect and improve the health, wellbeing and safety of our residents. We utilise data and evidence to help guide decisions on investment and targeting of particular programmes of work.

Wage

Competitive

Competitive wage offered

Check minimum wage rates (opens in new tab)

Training course
Data scientist (integrated degree) (level 6)
Hours
Days and shifts TBC.

37 hours a week

Start date

Saturday 1 August 2026

Duration

3 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

  • Lead or support data analysis, surveys and reports presenting complex findings to diverse audiences
  • Support the further development of the use of statistical methods within team and with wider stakeholders, maintaining links to external partners to keep abreast of best practice      
  • Management of data pipelines from across the local authority and partners
  • Deep-dive analysis on priority areas for the local authority and partners, such as child development, domestic abuse
  • Development of reporting dashboards to support service monitoring such as Environmental Health and Trading Standards, delivery of NHS Health Checks

Where you'll work

Civic Centre
Glebe Street
Stoke-on-Trent
Staffordshire
ST4 1HH

Training

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

Training provider

UNIVERSITY OF KEELE

Training course

Data scientist (integrated degree) (level 6)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results.  Collaborate with colleagues to gather requirements.
  • Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
  • Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem.  Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
  • Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
  • Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment.  Determine the implicit and explicit value of data. Assess value for money and Return on Investment.  Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
  • Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards.  Visualise data to tell compelling and actionable narratives.  Make recommendations to decision makers to contribute towards the achievement of organisation goals.
  • Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
  • Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.

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

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

Skills

  • IT skills
  • Organisation skills
  • Administrative skills
  • Analytical skills
  • Logical

About this employer

Stoke-on-Trent City Council values the diversity of its community and aims to have a workforce that reflects this – we therefore encourage applications from all sections of our community. We celebrate diversity and are committed to creating an inclusive environment for all employees – a place where we can all be ourselves and succeed together.

https://webrecruitment.stoke.gov.uk/wrl/pages/searchResults.jsf (opens in new tab)

After this apprenticeship

Data Scientist.

Ask a question

The contact for this apprenticeship is:

UNIVERSITY OF KEELE

The reference code for this apprenticeship is VAC2000031130.

Apply now

Closes in 19 days (Monday 1 June 2026)

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