Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data-driven projects to enhance manufacturing efficiency and quality.
- Company: Join Ford Halewood, a leader in automotive innovation with a rich history.
- Benefits: Enjoy 33 days holiday, competitive salary, and wellness perks like a free gym.
- Why this job: Make a real impact in the transition to electric vehicles with cutting-edge data science.
- Qualifications: Degree in relevant field and expertise in Python and machine learning required.
- Other info: Be part of a supportive team with excellent career growth opportunities.
The predicted salary is between 46500 - 47000 £ per year.
Location: Halewood, Merseyside
Duration: Permanent
Start date: ASAP
Salary: £46,587.88pa + 33 days holiday per year; 25 vacation & 8 bank holidays
GPW Recruitment are partnering with Ford Halewood Transmissions Ltd (FHTL) in Halewood to recruit a Manufacturing Data Scientist.
Ford Halewood Transmission Limited (FHTL) develops and manufactures transmissions with an employee workforce of circa 600 people. The Plant has a proud 60-year history as a local employer and is dedicated to manufacturing high quality products. Ford are currently investing up to £230 million at the facility to transform it to build electric power units for future Ford all-electric passenger and commercial vehicles.
On Offer as the Manufacturing Data Scientist:
- Salary of £46,587.88pa
- 33 days holidays per year (25 vacation & 8 bank holidays)
- Hours of work are Monday to Thursday 7:00-15:30 and Friday 7:00-12:30
- Plus FHTL Employment Benefits:
- Free on-site gym facility inclusive of a sauna & steam room (outside of working hours).
- Employee assistance programmes: weekly appointments available for all employees to utilise for free such as massages, circuit classes, nutrition advice, yoga, chiropody, reiki and head massages (outside of working hours).
- An on-site physiotherapy and occupational health department is available to employees to support their health and well-being.
- Competitive pension scheme (company pays 1.5 times the amount of the employee contributions paying up to 12%)
- £750 annual attendance bonus (subject to company T&Cs).
- Access Ford's Privilege scheme - allowing you to purchase Ford vehicles at a discount
- An excellent work-life balance, including a generous holiday allowance of 25 days (inclusive of set shutdown dates)
- 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 within the plant, collaborate across Ford's central analytics network, and help scale successful solutions enterprise-wide.
Ford Motor Company's ethos is to compete to win; to enable this, a key priority is deriving meaningful insights from data. At Ford Halewood Transmissions Ltd, manufacturing data is the priority; this role embodies continuous improvement, enabling teams to adapt to the insights that you provide. You will be part of the plant manufacturing team and part of the wider data science pillar in Ford. You will be responsible for conceptualising, developing and maintaining a range of manufacturing data science projects and products.
Qualifications and Experience required by the Manufacturing Data Scientist:
- Essential: Degree level education in relevant subject (Mathematics, Statistics, Data Analytics, Computer Science, Physical Science or related) or equivalent experience relevant to the field in an engineering/automotive environment.
- Essential: Python expertise
- Essential: Expertise using ML techniques
- Essential: Experience using statistical methodologies
- Preferable: SQL proficiency
- Preferable: Cloud computing proficiency
Key Responsibilities (including but not limited to):
- Demonstrate Ford+ Behaviours in daily work: ownership, collaboration, customer focus, integrity, inclusion, and learning. Role-model these behaviours in cross-functional projects and in mentoring others.
- Lead or co-lead cross-site analytics initiatives, sharing best practices and building a plant-level analytics playbook.
- Extract, transform, load, analyse, and report complex manufacturing data from multiple sources.
- Establish and maintain data quality checks, metadata, lineage, governance, and security controls to ensure trustworthy analytics.
- Identify bottlenecks and variability drivers to improve OEE, yield, scrap reduction, downtime, cycle times, and energy usage.
- Develop and maintain dashboards and visualisation for plant leadership, engineers, and operators; communicate findings in clear, non-technical terms.
- Build and deploy predictive and prescriptive models (predictive maintenance, yield/defect forecasting, anomaly detection, capacity planning, SPC-aware models).
- Operationalise models in the cloud with robust MLOps practices, including versioning, monitoring, drift detection, retraining, and documentation.
- Create model cards and explainability artifacts to support trust and adoption by operators and leadership.
- Develop scalable data pipelines and reusable analytics components; enable near real-time scoring and alerting for process deviations.
- Partner with process engineers, maintenance, quality, IT, production, and supply chain to translate analytics into actions.
- Support pilots and scale successful solutions across sites; deliver training and skill development in analytics across the plant.
- Ensure data privacy, security, and regulatory/compliance considerations are integrated into analytics work.
- Promote data governance, documentation of data sources, assumptions, and limitations, champion safe and ethical use of data and models.
- Translate technical results into business impact, tailor communications for varying levels of statistical literacy across teams.
- Proactively identify gaps in current processes and propose concrete steps to close them; foster a culture of continuous improvement.
- Contribute to building a digital/data science team within the plant; deploy analytics training and upskilling across departments.
About Ford:
Ford Motor Company is a global automotive industry leader that manufactures or distributes vehicles across six continents. With over 200,000 employees and 65 plants worldwide, the UK employs over 13,000 individuals. The Ford+ plan is transforming the business to align the global organisation into an integrated team to accelerate. This is by focusing on the creation of vehicles revising the customers' true demands, reduction of costs, to introduce exciting new technology, enhance quality and improve efficiency.
About Ford Halewood Transmission Limited:
Ford Halewood Transmission Limited (FHTL) develops and manufactures transmissions with an employee workforce of circa 600 people. The Plant has a proud 60-year history as a local employer and is dedicated to manufacturing high quality products. Ford are currently investing up to £230 million at the facility to transform it to build electric power units for future Ford all-electric passenger and commercial vehicles.
Future Prospects:
The business invests significantly in its employee development. FHTL supports the onward development and growth of all personnel and has a track record of promoting from within based on performance and achievement.
The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability.
This vacancy is advertised in line with the FORD equal opportunities policy.
To apply for the Manufacturing Data Scientist role please click apply now and please ensure that you apply for this position via one recruitment agency only.
Manufacturing Data Scientist in Liverpool employer: GPW Recruitment
Contact Detail:
GPW Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Data Scientist in Liverpool
✨Tip Number 1
Network like a pro! Reach out to current employees at Ford Halewood Transmissions Ltd on LinkedIn. Ask them about their experiences and any tips they might have for landing the Manufacturing Data Scientist role. Personal connections can give you an edge!
✨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. We want to see your problem-solving skills in action, so think of examples that showcase your expertise!
✨Tip Number 3
Show off your data storytelling skills! During interviews, practice explaining complex data insights in simple terms. This will demonstrate your ability to communicate effectively with non-technical team members, which is crucial for the Manufacturing Data Scientist role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the Ford family. So, hit that apply button and let’s get you started on this exciting journey!
We think you need these skills to ace Manufacturing Data Scientist in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Manufacturing Data Scientist role. Highlight your relevant experience, especially in Python and ML techniques, and don’t forget to showcase any projects that demonstrate your data-driven mindset.
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 skills can contribute to Ford Halewood's goals. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can turn data into actionable insights, so share those success stories!
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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at GPW Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your Python and machine learning techniques before the interview. Be ready to discuss how you've used these skills in real-world scenarios, especially in manufacturing or automotive contexts.
✨Understand Ford's Vision
Familiarise yourself with Ford's current projects, especially their shift towards electric power units. Showing that you understand their goals and how your role as a Manufacturing Data Scientist fits into this vision will impress the interviewers.
✨Prepare for Technical Questions
Expect questions about data collection, transformation, and analysis. Be prepared to explain your approach to ensuring data quality and how you would handle complex datasets. Practising common data science problems can help you feel more confident.
✨Show Your Collaborative Spirit
Since the role involves working with various teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can translate technical findings into actionable insights for non-technical stakeholders.
