Manufacturing Engineering Data Scientist

SECURITY CLEARANCE: You will be subject to a BPSS check (including a criminal record check)

TRAVEL REQUIRED: Occasional travel within UK

LOCATION: Broughton

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• Financial Reward: Competitive salary, annual profit share, contributory pension, share options, car leasing scheme, free onsite parking, season ticket loan, tax‑free technology scheme, shopping discounts and much more
  
• Work / Life Balance: 35 hour week, may include days, double‑days and night shift. Due to site ramp‑up there are currently multiple positions available across these shifts with differing shift premiums, flexible working, option to buy/sell holiday
  
• Personal Development: Personalised development plan, Airbus Leadership University and unlimited access to 10,000+ e‑learning courses, internal mobility including international opportunities
  
• Health & Wellbeing: Bupa health insurance, wellbeing benefits (including 24/7 online GP and mental health support), discounted family health/dental/eye insurance, cycle‑to‑work scheme, on‑site canteen and coffee shop, lunchtime yoga/meditation
  
• Family and Caregiving: Life assurance, enhanced pay for maternity, paternity, adoption and shared parental leave and caregiving
  

Our world is changing. And so are we. From our commitment to zero‑carbon flight (#ZEROe) to cleaning up space, sustainability is at the heart of our purpose.

Are you ready to join a high‑performing team at the front‑of‑the‑line of cutting‑edge manufacturing engineering? At Airbus Broughton, we’re passionate about pushing the boundaries of what’s possible in the aerospace industry. We’re seeking a talented Data Scientist to help us leverage the power of data and drive continuous improvement in our production processes.

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• Collaborate with cross‑functional teams to gather and analyse data requirements from various departments within the organization, including engineering, operations, supply chain and quality assurance.
  
• Promote digital initiatives launched for Broughton plant and influence data owners and central teams to prioritise relevant data availability and industrialisation.
  
• Based on the stated or anticipated business needs, understand and perform their mapping into the problem space of statistics, machine learning and AI.
  
• Based on data modelling provided by IT, with a focus on business needs, extract and integrate both structured and unstructured data from various databases/data‑stores with the help of Data Analysts; analyse the statistical properties of the data and use scientific methods to find adequate existing or create novel solution proposals based on statistics, machine learning or AI techniques.
  
• Run controlled experiments to find the best solution.
  
• Implement the solution based on state‑of‑the‑art algorithms using best practices from software engineering.
  
• Create protocols for monitoring the accuracy of models against business needs, and proactively contribute to the creation and re‑use of industrial‑level AI solutions.
  

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• Educated to a degree level in Data Analytics and Data Science; experience in manufacturing or aerospace industry is a plus.
  
• Ability to understand the data flow through processes and applications.
  
• Data visualization either by mapping the data flow in the design phase or to communicating insights during the operating phase.
  
• In‑depth knowledge of computer science and programming languages.
  
• English level: fluent or negotiation level.
  
• Rigorous, analytical and creative mind.
  
• Leadership skills and ability to allocate or take actions, manage the schedule to make things happen.
  
• People coordination and alignment skills, especially from different business functions.
  

Many of our staff work flexibly in many different ways, including part‑time. Please talk to us at the interview about the flexibility you need and we’ll always do our best to accommodate your request.

Let us know if you need us to make any adjustments for the selection process – you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence.

As a Disability Confident Employer, Airbus UK will offer an interview to any applicant that considers themselves to have a disability or long‑term condition and meets the minimum criteria of the role (as set out in the job advert). To opt in, just select the option during your application submission and our Talent Acquisition team will contact you.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Airbus Operations Limited

Permanent

Professional

Digital

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.