Cummins

Degree Apprenticeship - Data Scientist Level 6

Cummins Huddersfield, ENG, GB
Full-time Posted about 2 months ago

Role overview

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!

Responsibilities

  • check_circle Extraction, interpretation and presentation of emerging data
  • check_circle Development of Power BI reports to showcase patterns, trends and issues
  • check_circle Use of accumulated data to develop machine learning models for improved future accuracy
  • check_circle Collaboration with wider Performance, Analysis and Advanced Engineering teams to support machine learning initiatives and explorations
  • check_circle Support communication with global stakeholders, presenting learnings and insights
  • check_circle Autonomous, enthusiastic, proactive and self-motivated with good communication skills, an enjoyment of problem-solving and keenness in looking for innovative solutions

Basic qualifications

  • 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

Benefits

  • check_circle 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 the company

Job Engineering

Organization Cummins Inc.

Role Category On-site with Flexibility

ReqID 2428693

100% On-Site No

Tags & Focus Areas

Data Science Ai