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Cummins

Degree Apprenticeship - Data Scientist Level 6

Posted 14 Days Ago
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In-Office
Huddersfield, West Yorkshire, England
Entry level
In-Office
Huddersfield, West Yorkshire, England
Entry level
Apprentice Data Scientist working within Engineering: extract, interpret and present data; build Power BI reports; develop machine learning models; collaborate with performance, analysis and engineering teams; communicate insights to global stakeholders while studying part-time for a Level 6 BSc Hons Data Science.
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We are looking for an enthusiastic Data Science Engineer to join our team specializing in Engineering for our Cummins Components & 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 in 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.

Responsibilities

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
Qualifications

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.

About UsCummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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