Are you experienced in Data Science and seeking a fresh challenge?

Are you ready to take on a pivotal role in manufacturing and enhancing essential production?

Do you have a passion for the future of electric vehicles?

Join the team at Ford Transmissions Halewood as a Manufacturing Data Scientist!

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

Key Responsibilities:

• Identify and drive new opportunities to improve plant efficiency using your data science expertise.
• Extract, transform, and analyse complex manufacturing data, reporting insights 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, serving as the plant's point of contact.
• Help build a dynamic data science team within the plant and lead data training across departments.

Qualifications and Experience:

• A degree in Data Analytics, Computer Science, Statistics, Mathematics, Physical Sciences, or a related field-or equivalent experience in a similar engineering/automotive environment.
• 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.
• Resilience and a positive attitude when faced with challenges.