Manufacturing Data Scientist

Ford Motor Company · Dunton

Department

The Powertrain Manufacturing Engineering (PTME) Europe team is at the forefront of innovation, dedicated to equipping our manufacturing plants with world-leading systems. We are committed to modernising our business by designing and installing advanced manufacturing solutions that enable our plants to efficiently deliver our diverse portfolio of propulsion systems and cutting-edge battery solutions for vehicles.

As manufacturing becomes increasingly connected and data-driven, PTME plays a critical role in combining engineering expertise, advanced analytics and digital technologies to improve quality, productivity, equipment performance and operational excellence across our manufacturing network.

To support this mission, we are a travelling department with regular opportunities to work alongside manufacturing plants and suppliers across Ford's global operations.

Opportunity

As a key member of our PTME team, you will play a crucial role in shaping the future of automotive manufacturing through machine learning, advanced analytics and data-driven decision making.

You will be responsible for identifying opportunities, developing analytical solutions and delivering measurable business outcomes across the full project lifecycle. This role offers the unique opportunity to combine technical data science expertise with real-world manufacturing problem solving.

You will apply machine learning, statistical modelling and advanced analytics techniques to unlock insights from connected manufacturing data while working alongside a collaborative team of engineers, manufacturing specialists and business stakeholders.

PTME is looking for an individual who can help expand the use of data science throughout the organisation. You will collaborate with a team of over 100 manufacturing engineers and must be comfortable working directly with stakeholders both in our Dunton office and at manufacturing facilities.

This is not a traditional analytics role focused solely on model development. Successful candidates will be expected to take ownership from problem definition through data acquisition, solution development, deployment support and business adoption.

Hybrid Worker (minimum 4 days on-site per week)
Ability to travel domestically and internationally as required

Shape the future of automotive manufacturing as a Manufacturing Data Scientist. You will apply machine learning, advanced analytics and industrial data science to solve complex manufacturing challenges, improve operational performance and unlock insights from connected equipment and production systems. Using Python and Google Cloud Platform (GCP), you will develop analytical solutions from concept through to deployment, working directly with engineering and manufacturing teams across Ford's global operations. This is a hands-on, hybrid role (minimum 4 days on-site per week in Dunton or manufacturing facilities) requiring occasional international travel to support project delivery and implementation.

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