Manufacturing Engineering Data Scientist

Airbus S.A.S.
Chester
4 days ago
Create job alert
Overview

Are you ready to join a high-performing team at the forefront 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.

Responsibilities
  • 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 prioritize relevant data availability and industrialization.
  • Understand and map business needs into the problem space of statistics, machine learning and AI.
  • With data modeling provided by IT, extract and integrate both structured and unstructured data from various databases/data-stores with the help of Data Analysts; analyze the statistical properties of the data and use scientific methods to propose adequate existing or novel solutions based on statistics, machine learning or artificial intelligence techniques.
  • Run controlled experiments to identify 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; proactively contribute to the creation and reuse of industrial-level AI solutions.
Qualifications
  • Educated to 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 by communicating insights during the operate phase.
  • In-depth knowledge of computer science and programming languages; English level: fluent or negotiation level.
  • Rigorous, analytical and creative mind; leadership and proactive task management to coordinate actions and schedules.
  • Skills in people coordination and alignment, especially from different business functions; awareness of potential compliance risks and a commitment to act with integrity as the foundation for the Company's success, reputation and sustainable growth.
Compliance and Diversity

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 committed to equal opportunities for all. We will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus should be reported to . We support flexible working arrangements where possible to stimulate innovative thinking.

Rewards and Work Environment
  • 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 more.
  • Work / Life Balance: 35-hour week with shift options (Days, Double-days, Nightshift) and associated premiums; multiple positions available across shifts.
  • 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 (24/7 online GP and mental health support), discounted family health/dental/eye tests, 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. So what's your next change?


#J-18808-Ljbffr

Related Jobs

View all jobs

Manufacturing Engineering Data Scientist

Manufacturing Engineering Data Scientist

Lead Data Scientist

Data Scientist Intern (PhD level)

Principal Data Scientist London, United Kingdom

Principal Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.