Manufacturing Data Scientist Salary: £46,587.88 (inclusive of 35% holiday bonus for 33 days per year; 25 vacation & 8 bank holidays) Contract: Permanent Hours: Monday to Thursday: 07:00 - 15:30, Friday: 07:00 - 12:30 As a Manufacturing Data Scientist, you will play a key role in shaping how data is used to improve efficiency, quality, throughput, and sustainability across the plant. You will design, develop, and maintain a portfolio of data-driven products and projects that turn complex manufacturing data into clear, actionable insights for operators, engineers, and leadership. You will work as part of the plant manufacturing team while also being embedded within Ford's wider global data science and analytics community, helping to scale successful solutions across the enterprise. This role embodies Ford's commitment to continuous improvement and data-led decision-making, enabling teams to adapt and improve based on the insights you deliver. Essential Degree-level education in a relevant subject (such as Mathematics, Statistics, Data Analytics, Computer Science, Physical Sciences) or equivalent professional experience within an engineering or automotive environmentStrong Python expertiseExperience applying machine learning techniques in real-world scenariosSolid grounding in statistical methodologies and analysis Desirable SQL proficiencyExperience with cloud computing platforms What You'll DoLeadership & Ford+ Behaviours Demonstrate Ford+ behaviours in your daily work: ownership, collaboration, integrity, inclusion, customer focus, and continuous learningLead or co-lead cross-site analytics initiatives and contribute to a shared analytics playbook Data, Analytics & Insight Extract, transform, analyse, and report manufacturing data from multiple sourcesPut robust data quality, governance, and security controls in placeIdentify process bottlenecks and key drivers of variability to improve OEE, yield, scrap, downtime, cycle times, and energy usageBuild clear dashboards and visualisations, communicating insights in accessible, non-technical language Modelling & Deployment Develop and deploy predictive and prescriptive models (e.g. predictive maintenance, defect forecasting, anomaly detection, capacity planning)Operationalise models using cloud and MLOps best practices, including monitoring, documentation, retraining, and explainability Collaboration & Change Work closely with engineering, quality, maintenance, IT, production, and supply chain teams to translate insights into actionSupport pilot projects and help scale successful solutions across sitesContribute to analytics training and capability-building within the plant Ethics, Safety & Governance Ensure data privacy, security, and compliance considerations are embedded in all analytics workChampion responsible, safe, and ethical use of data and models Benefits Access to our Employee Development and Assistance ProgrammeA unique opportunity to access Fords Privilege scheme - allowing you to purchase Ford vehicles at a discountA great salary increasing yearly, along with our competitive pension schemeAn excellent work-life balance, including a generous holiday allowance of 25 days (inclusive of set shutdown dates)Cycle to Work SchemeOn site facilities such as a gym, sauna and steam room