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- Tasks: Lead data-driven projects to enhance manufacturing efficiency and quality.
- Company: Join Ford Halewood, a leader in automotive innovation with a focus on electric power units.
- Benefits: Enjoy a competitive salary, 33 days holiday, and access to a free on-site gym.
- Why this job: Make a real impact in the automotive industry while developing your data science skills.
- Qualifications: Degree in relevant field and expertise in Python and machine learning techniques.
- Other info: Be part of a dynamic team with excellent career growth opportunities and a commitment to diversity.
The predicted salary is between 40000 - 52000 £ per year.
Location: Halewood, Merseyside
Duration: Permanent
Start date: ASAP
Salary: £46,587.88 pa + 33 days holiday per year (25 vacation & 8 bank holidays)
Employer: Ford Halewood Transmission Limited (FHTL) with GPW Recruitment partner
FHTL develops and manufactures transmissions with an employee workforce of circa 600. The plant has a 60-year history and is investing up to £230 million to transform for electric power units for future Ford all-electric vehicles.
On offer:
- Salary of £46,587.88 pa
- 33 days holidays per year (25 vacation & 8 bank holidays)
- Hours: Monday to Thursday 07:00–15:30 and Friday 07:00–12:30
- FHTL employment benefits: free on-site gym (with sauna & steam room outside working hours)
- Employee assistance programmes: weekly appointments (e.g., massages, classes, nutrition advice, yoga, chiropody, reiki, head massages) outside working hours
- On-site physiotherapy and occupational health department
- Competitive pension scheme (company contributions up to 12% and 1.5x employee contributions)
- £750 annual attendance bonus (subject to company terms and conditions)
- Access Ford Privilege scheme for vehicle discounts
- Excellent work-life balance with generous holiday allowance
- Cycle to Work Scheme
The role:
A data science leader within Ford's manufacturing ecosystem who conceptualises, develops, and maintains a portfolio of data-driven products and projects at Halewood. The role delivers measurable improvements in plant efficiency, quality, and throughput by turning complex data into actionable insights for operators, engineers, and leadership. You will contribute to a growing digital/data science community, collaborate across Ford's central analytics network, and help scale successful solutions enterprise-wide. You will be responsible for conceptualising, developing and maintaining a range of manufacturing data science projects and products.
You will be part of the plant manufacturing team and the wider data science pillar in Ford, focusing on continuous improvement and adoption of insights across the site.
Qualifications and Experience:
- Essential: Degree level education in Mathematics/Statistics/Data Analytics/Computer Science or related field, or equivalent experience in an engineering/automotive environment
- Python expertise
- Experience with ML techniques
- Experience with statistical methodologies
- Preferable: SQL proficiency
- Cloud computing proficiency
Key Responsibilities:
- Demonstrate Ford+ Behaviours in daily work: ownership, collaboration, customer focus, integrity, inclusion, and learning; role-model these behaviours in cross-functional projects and mentoring others
- Lead or co-lead cross-site analytics initiatives; share best practices and build a plant-level analytics playbook
- Data collection, transformation, governance: extract, transform, load, analyse, and report complex manufacturing data from multiple sources
- Establish and maintain data quality checks, metadata, lineage, governance, and security controls for trustworthy analytics
- Insight generation and storytelling: identify bottlenecks and drivers to improve OEE, yield, scrap reduction, downtime, cycle times, and energy usage; develop dashboards and visualisations for leadership, engineers, and operators; communicate findings clearly
- Modelling, experimentation, and impact: build and deploy predictive and prescriptive models (e.g., predictive maintenance, yield/defect forecasting, anomaly detection, capacity planning, SPC-aware models)
- Deployment, governance, and scale: operationalise models in the cloud with robust MLOps, versioning, monitoring, drift detection, retraining, and documentation; create model cards and explainability artifacts; develop scalable data pipelines and reusable analytics components; enable near real-time scoring and alerting
- Collaboration, enablement, and change management: partner with engineers, maintenance, quality, IT, production, and supply chain to translate analytics into actions; support pilots and scale solutions; provide analytics training
- Compliance, safety, and ethics: ensure data privacy, security, and regulatory alignment; promote data governance and safe, ethical use of data and models
- Communication and stakeholder engagement: translate technical results into business impact; tailor communications to varying statistical literacy; identify gaps and propose steps to close them
- People and capability development: contribute to building a digital/data science team and deploy analytics training across departments
About Ford:
Ford Motor Company is a global automotive leader with operations worldwide. The Ford+ plan aims to align the organisation to accelerate growth, reduce costs, introduce new technology, improve quality, and enhance efficiency.
About Ford Halewood Transmission Limited:
Ford Halewood Transmission Limited (FHTL) develops and manufactures transmissions and employs about 600 people. The plant is investing up to £230 million to transform for electric power units.
Future Prospects:
The business invests in employee development and has a track record of promoting from within based on performance and achievement.
Proposed start date: ASAP, based on personal availability if you accept the offer.
Equality and Diversity:
The Company is committed to diversity and equality of opportunity for all and opposes harassment or discrimination. This vacancy is advertised in line with the FORD equal opportunities policy.
How to apply:
To apply for the Manufacturing Data Scientist role, please click apply now and ensure you apply via one recruitment agency only.
Manufacturing Data Scientist in Knowsley employer: GPW Recruitment
Contact Detail:
GPW Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Data Scientist in Knowsley
✨Tip Number 1
Network like a pro! Reach out to current employees at Ford or in the manufacturing data science field. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and ML techniques. Be ready to discuss how you've used these skills in real-world scenarios. Show them you can turn complex data into actionable insights!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your collaboration and communication abilities too. Ford values teamwork, so share examples of how you've worked with others to achieve common goals.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the Ford family and contributing to their exciting future.
We think you need these skills to ace Manufacturing Data Scientist in Knowsley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Manufacturing Data Scientist role. Highlight your Python expertise, experience with ML techniques, and any relevant projects that showcase your skills in data analytics and engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science in manufacturing and how your background aligns with our goals at Ford Halewood. Be sure to mention any specific experiences that demonstrate your problem-solving abilities.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or professionally, make sure to include them. We love seeing real-world applications of your skills, especially those that involve data-driven insights and improvements in efficiency.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Ford Halewood.
How to prepare for a job interview at GPW Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and ML techniques before the interview. Be ready to discuss how you've used these in past projects, especially in a manufacturing context. They’ll want to see that you can turn complex data into actionable insights.
✨Show Off Your Collaboration Skills
Since this role involves working with various teams, be prepared to share examples of how you've collaborated in cross-functional projects. Highlight any experiences where you’ve led initiatives or mentored others, as they value ownership and teamwork.
✨Prepare for Insight Generation
Think about specific instances where you've identified bottlenecks or improved processes using data. Be ready to explain your thought process and the impact of your findings. They’ll appreciate a good story that showcases your analytical skills.
✨Understand Their Business
Do some homework on Ford Halewood Transmission Limited and their current projects, especially around electric power units. Showing that you understand their goals and challenges will demonstrate your genuine interest in the role and the company.
