Degree Apprenticeship – Data Scientist Level 6
Cummins Ltd
Darlington (DL1 4BS)
Closes on Monday 20 April 2026
Posted on 17 March 2026
Contents
Summary
The Data Scientist Integrated Degree Apprentice role is a developmental position within Cummins Services Organisation. During the apprenticeship you will work 5 days per week, inclusive of 1 day per week for study with the BPP University. On completion of this apprenticeship, you will obtain a Level 6 (Degree) qualification.
- Wage
-
Competitive
Competitive wage offered
- 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 with the BPP University. The working hours are 08:00 – 16:30 Mon – Thurs and 08:00 – 13:30 Fri.
37 hours 30 minutes a week
- Start date
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Friday 1 May 2026
- Duration
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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
We are looking for an enthusiastic apprentice to join our team specializing in Data Science for our Cummins Services (Shared Services) in Darlington, United Kingdom. During your apprenticeship with us, you will learn how a major global organization 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:
- Evaluate, initiate, create and support business solutions using digital technology.
- Influence the local organisation with a key focus on delivering business improvements.
- Create impactful presentations and dashboards to summarise key findings.
- Communicate effectively with key stakeholders to help drive timely decision making.
To be successful in this role you will need the following:
- UCAS point of 104 or above in a STEM related subject either from A level’s or BTEC.
Mathematics at GCSE grade 7 or above and English at GCSE grade 5 or above - Science at GCSE grade 6,6 if double or above and an average grade of 5 across remaining subjects.
- A recognized and equivalent qualification (examinations and experience will be considered) or completion of a level 3 apprenticeship/professional qualification in a relevant discipline.
- Work experience in data or IT for 2 years or above will be considered.
- Strong numerical, logical skills, Problem solving techniques and strategies.
- Excellent interpersonal and communication skills.
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.
Working at Cummins
At Cummins, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all qualified individuals, regardless of race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, and/or expression, or any other status protected by law. As a disability confident employer, we strive to make our recruitment process as accessible as possible. If you require any reasonable adjustments to accommodate a health condition or disability, please let us know. Your journey with us matters!’
Where you'll work
Yarm Road
Darlington
DL1 4BS
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BPP UNIVERSITY LIMITED
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
The Data Scientist Integrated Degree Apprentice role is a developmental position within Cummins Services Organisation.
During the apprenticeship you will work 5 days per week, inclusive of 1 day per week for study with the BPP University. The working hours are 08:00 – 16:30 Mon – Thurs and 08:00 – 13:30 Fri.
On completion of this apprenticeship, you will obtain a Level 6 (Degree) qualification.
Requirements
Essential qualifications
GCSE in:
- all other subjects (grade 5 or above)
- English (grade 5/B or above)
- Math's (grade 7 or above)
- Science (grade 6/B 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
- Organisation skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Non judgemental
- 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
Possibility of a potential permanent employment through open vacancies.
Ask a question
The contact for this apprenticeship is:
BPP UNIVERSITY LIMITED
The reference code for this apprenticeship is VAC2000021643.
Apply now
Closes on Monday 20 April 2026
After signing in, you’ll apply for this apprenticeship on the company's website.