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Degree Apprenticeship - Data Scientist Level 6

2 days ago Brighouse, United Kingdom

We are looking for an enthusiastic Data Science Engineer to join our team specializing in Engineering for our Cummins Somponents & Software in Huddersfield, West Yorkshire. 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!

Summary of the course:

The Data Science Degree Apprentice role is a developmental position within the Technical Planning department within the Engineering function. 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. On completion of this apprenticeship, you will obtain a Level 6 Data Scientist Apprenticeship, with Integrated BSc Hons Data Science.

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

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.

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.

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

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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.

Job Engineering

Organization Cummins Inc.

Role Category On-site with Flexibility

Job Type

ReqID 2428693

100% On-Site No

Client-provided location(s): Brighouse, United Kingdom
Job ID: Cummins-R-CC9B3DE213314139B647190A4AC377CD
Employment Type: OTHER
Posted: 2026-06-05T19:52:27

Perks and Benefits

  • Health and Wellness

    • FSA With Employer Contribution
    • Health Reimbursement Account
    • On-Site Gym
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Company Outings
    • Casual Dress
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Pension
    • 401(K) With Company Matching
  • Professional Development

    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Tuition Reimbursement
  • Diversity and Inclusion