Manufacturing Data Scientist

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Full time
Location: Huyton
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Job offered by: CV Library
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Category: IT & Technology
Drive the Future of Electric Vehicles!

Manufacturing Data Scientist - Ford Halewood

Be a part of a groundbreaking transformation at Ford Halewood Transmissions, a global leader in electric vehicle technology! We are seeking a passionate and skilled Data Scientist to join Ford's innovative team as they build a cutting-edge EV powertrain production facility.

Salary:

£61,116.53 (inclusive of 35% holiday bonus for 33 days per year; 25 vacation and 8 bank holidays)

Hours:

Monday to Thursday 7:00-15:30 and Friday 7:00-12:30

Benefits: Access to the Employee Development and Assistance Programme (EDAP) Discounted Ford vehicles through the Privilege scheme Competitive pension scheme and annual salary increases Generous holiday allowance of 25 days Take advantage of the Cycle to Work Scheme Enjoy on-site facilities such as a gym, sauna, steam room, and more

In this role, you'll: Lead the charge in identifying and implementing data-driven solutions to optimise plant efficiency and drive operational excellence. Extract, transform, and analyse complex manufacturing data to uncover valuable insights and support critical decision-making. Develop and maintain interactive data visualisations and dashboards to communicate insights effectively to stakeholders across various departments. Collaborate with our central innovation network and global data analytics teams, serving as the plant's data science expert and champion. Lead the development of a dynamic data science team within the plant, fostering a culture of data-driven decision making and continuous improvement.

We are looking for a Data Scientist with: A strong foundation in data analytics, computer science, statistics, mathematics, physical sciences, or a related field, with experience in a similar engineering/automotive environment. Proven problem-solving skills, with a track record of providing data-driven solutions to manufacturing challenges. Expertise in automating data pipelines and using Big Data Analytics tools, with experience in cloud databases. Solid proficiency in SQL and Python programming, with a deep understanding of current and emerging data technologies. Exceptional communication and leadership skills, with the ability to inspire and motivate others to embrace data-driven decision making. A resilient and positive attitude, with a passion for innovation and continuous improvement.

The Company is committed to equality of opportunity for all and is opposed to any form of less favourable treatment or harassment.

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