Skip to main content
Live rolePosted 10 June 2026Find an Apprenticeship

Degree Apprenticeship - Data Scientist Level 6

C

Cummins Ltd

St. Andrews Road, Huddersfield, HD1 6RADegree Apprenticeship

Role overview

About this role

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.

Job details

Compensation

Paid opportunity

Closing date

16 July 2026

Working 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.

Standard

Data scientist (integrated degree) (level 6)

Level 6

Location

St. Andrews Road, Huddersfield, HD1 6RA

Posted

10 June 2026

Disability Confident Employer

Entry requirements

Qualifications

SubjectTypeGradeStatus
4 other subjectsGCSE4/C or aboveRequired
Maths & EnglishGCSE5/B or aboveRequired
3 subjects (Computer Science or IT is desirable)A LevelC or aboveRequired
Any SubjectsOther104 PointsRequired

Skills required

What they're looking for

Communication skillsIT skillsAttention to detailOrganisation skillsProblem solving skillsPresentation skillsNumber skillsAnalytical skillsLogicalInitiativePatience

St. Andrews Road

Double-click the map to open in Google Maps

Company

Cummins Ltd

Cummins Ltd hires students into technology-focused teams where software, data, infrastructure, product thinking, reliability, and user impact often matter.

TechnologySoftwareDataProduct

Quick actions

Role insight

Preparing for Cummins Ltd

Good preparation includes project evidence, curiosity, debugging examples, teamwork, and being able to explain technical choices clearly.

  • Talk through one project in terms of problem, trade-offs, result, and what you would improve.
  • Be ready to explain code or data decisions without jargon.
  • Connect technical work to users, reliability, security, or business value.