Data Scientist

2 days ago

Huyton, Knowsley, United Kingdom CV Library Full time
Unlock Your Potential as a Manufacturing Data Scientist

Are you a data science expert looking for a new challenge in manufacturing? Do you have a passion for electric vehicles and a desire to drive innovation? We're seeking a talented Manufacturing Data Scientist to join our team at Ford Transmissions Halewood.

About the Role

As a Manufacturing Data Scientist, you'll play a pivotal role in enhancing production efficiency and driving business growth. Your expertise in data science will help us identify new opportunities for improvement, extract insights from complex manufacturing data, and develop data visualisation tools to communicate our findings effectively.

Key Responsibilities
  • Drive new opportunities to improve plant efficiency using data science expertise
  • Extract, transform, and analyse complex manufacturing data to support plant operations
  • Develop and maintain data visualisation tools and dashboards to communicate insights effectively
  • Collaborate with our central innovation network and global data analytics teams
  • Help build a dynamic data science team within the plant and lead data training across departments
Requirements
  • Strong problem-solving skills with a track record of providing data support to manufacturing investigations
  • Experience automating data pipelines and using Big Data Analytics tools, with cloud database experience
  • Proficiency in SQL and Python programming, and a solid understanding of current and emerging data technologies
  • A proactive, driven individual who excels in teamwork and leadership, with the ability to inspire and motivate others
What We Offer
  • Competitive salary and benefits package
  • Access to the Employee Development and Assistance Programme (EDAP)
  • Discounted Ford vehicles through the Privilege scheme
  • Generous holiday allowance and on-site facilities

We're an equal opportunities employer and welcome applications from diverse candidates. If you're passionate about data science and manufacturing, we'd love to hear from you.

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