Data Science Apprentice
Science and Technology Facilities Council
Warrington (WA4 4AD)
Closes in 23 days (Monday 2 February 2026)
Posted on 6 January 2026
Contents
Summary
We are seeking to recruit a Data Science Level 6 Apprentice to join our Data Science group. Collaborating with our industry partners, we develop tools, frameworks, and applications to accelerate the adoption of emerging technologies across the UK industry and the public sector.
- Wage
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£24,340 a year
Check minimum wage rates (opens in new tab)
Throughout the course of your apprenticeship you will receive annual increments in line with policy
- Training course
- Data scientist (integrated degree) (level 6)
- Hours
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Monday to Friday 9am-5pm.
37 hours a week
- Start date
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Thursday 3 September 2026
- Duration
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4 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
You will work across the Hartree Centre’s project portfolio, focusing on data analysis and machine learning. You will regularly interact with other technical teams, including High Performance Computing, Artificial Intelligence and Software Engineering. Our work involves a range of industry sectors including healthcare, manufacturing, energy and agritech. There is some scope for choosing projects in areas you find especially interesting. From small start-up companies to large multinational corporations, you will work closely with commercial teams, with some work being commercial in confidence.
Duties include:
- Work on building solutions to customers’ data science challenges.
- Learn and apply data-centric analytics and AI technologies.
- Visit commercial and academic partners, validate conclusions and present results to customers, including using advanced visualisation.
- Make site visits to commercial and academic partners.
- Publish non-confidential results to build the Hartree Centre and your own profiles in the community.
Where you'll work
Science and Technology Facilities Council
Daresbury Laboratory
Warrington
WA4 4AD
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
UNIVERSITY OF NOTTINGHAM, THE
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
Delivery – Blended (online, with in-person Block Release in Nottingham – 14 days per academic year).
Requirements
Essential qualifications
GCSE in:
- English (grade 4 or above)
- Maths (grade 4 or above)
A Level in:
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
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
About this employer
UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world-leading position in research and innovation. Supporting some of the world’s most exciting and challenging research projects, we develop and operate some of the most remarkable scientific facilities in the world. We are pushing the frontiers of human knowledge through fundamental research and delivering benefits for UK society and the economy through world-class research, skills and business-led innovation.
https://www.ukri.org/councils/stfc/ (opens in new tab)
Company benefits
30 days annual leave, plus Bank Holidays and Christmas Shutdown
Cycle to Work Scheme
Employee Discount Scheme
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
Further career and training opportunities.
Ask a question
The contact for this apprenticeship is:
UNIVERSITY OF NOTTINGHAM, THE
The reference code for this apprenticeship is VAC2000005854.
Apply now
Closes in 23 days (Monday 2 February 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.