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Degree Apprenticeship - Data Scientist Level 6
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Data Science Degree Apprentice
The Data Science Degree Apprentice role is a developmental position within the Technical Planning department within the Engineering function. On completion of this apprenticeship, you will obtain a Level 6 Data Scientist Apprenticeship, with Integrated BSc Hons Data Science.
Wage
Competitive
Competitive wage offered
Minimum wage rates (opens in new tab)
Training course
Data scientist (integrated degree) (level 6)
Hours
During the apprenticeship, you will work 5 days per week, inclusive of 1 day per week for study at University Academy 92 (UA92) in Manchester. The working hours are 37.5h/w, 8:30am - 4:30pm core hours, with flexibility to suit business needs.
37 hours 30 minutes a week
Start date
Monday 7 September 2026
Duration
3 years 6 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
We are looking for an enthusiastic Data Science Engineer to join our team specialising in Engineering for our Cummins Somponents & Software in Huddersfield, West Yorkshire.
During your apprenticeship with us, you will learn how a major global organisation operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential!
In this role, you will make an impact in the following ways:
- Extraction, interpretation and presentation of emerging data
- Development of Power BI reports to showcase patterns, trends and issues
- Use of accumulated data to develop machine learning models for improved future accuracy
- Collaboration with wider Performance, Analysis and Advanced Engineering teams to support machine learning initiatives and explorations
- Support communication with global stakeholders, presenting learnings and insights
Autonomous, enthusiastic, proactive and self-motivated with good communication skills, an enjoyment of problem-solving and keenness in looking for innovative solutions
To be successful in this role you will need the following:
- 3 A-levels (or equivalent) : grade C or above (A level in Computer Science or IT is desirable)
- GCSEs including Math’s/Science at Grade 5/B, 4 other subjects at 4/C or above.
- Minimum 104 UCAS points are needed, this is essential
- A genuine interest in Data Science or related fields.
- Must have been a UK resident/citizen for 3 years or above
Why Cummins
As an apprentice at Cummins, you will have the chance to develop your skills and knowledge in a supportive and dynamic environment. Our program is designed to provide a comprehensive learning experience that prepares you for a successful career in the industry.
Where you'll work
St. Andrews Road
Huddersfield
HD1 6RA
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
UNIVERSITY ACADEMY 92 LIMITED
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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 36-42 month Level 6 Data Scientist Apprenticeship gives learners essential skills to succeed in a modern data-driven workplace. Developing a powerful combination of statistical analysis techniques, programming skills and domain expertise, unlocking meaningful insights from complex datasets and driving impactful, data-driven decisions within an organisation.
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Apprentices attend weekly learning sessions and build a professional portfolio, showcasing workplace examples that evidence key knowledge, skills and behaviours (KSBs). Learners will have the opportunity to participate in industry masterclasses and professional development, enhancing their knowledge and skills beyond the apprenticeship. By completion, learners will be fully prepared for their Apprentice Assessment, equipped with practical experience to confidently demonstrate their abilities.
More training information
You will study part-time at University Academy 92 (UA92) in Old Trafford, Manchester covering a broad range of knowledge and skills including :
- Machine Learning
- Artificial Intelligence
- Data Engineering
- Data Visualisation and Dashboarding
Requirements
Essential qualifications
- GCSE in:
- 4 other subjects (grade 4/C or above)
- Maths & English (grade 5/B or above)
- A Level in:
- 3 subjects (Computer Science or IT is desirable) (grade C or above)
- UCAS points in:
- Any Subjects (grade 104 Points)
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
- Problem solving skills
- Presentation skills
- Number skills
- Analytical skills
- Logical
- Initiative
- Patience
About this employer
Cummins Turbo Technologies is the only manufacturer focused solely on medium- to heavy-duty diesel engine turbo technologies. For more than 60 years, we have delivered innovative, reliable turbocharger solutions for our customers. Our vision for turbocharger solutions, thanks to our rich company heritage derived from our Holset® brand, sets us apart as a technology leader.
https://www.cummins.com (opens in new tab)
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
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Possibility of a potential permanent employment through open vacancies.
Ask a question
The contact for this apprenticeship is:
UNIVERSITY ACADEMY 92 LIMITED
The reference code for this apprenticeship is VAC2000036423.
Apply now
Closes tomorrow (Thursday 16 July 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.
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