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For Companies At a Glance
- Tasks: Analyse data and collaborate with teams to drive digital initiatives in manufacturing.
- Company: Join Airbus, a leader in aerospace innovation and technology.
- Benefits: Enjoy competitive salary, profit share, health insurance, and flexible working options.
- Why this job: Make an impact in the aerospace industry using cutting-edge data science techniques.
- Qualifications: Degree in Data Analytics or Data Science; experience in manufacturing is a plus.
- Other info: Flexible working arrangements and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
SECURITY CLEARANCE: You will be subject to a BPSS check (including a criminal record check).
TRAVEL REQUIRED: Occasional travel within UK.
LOCATION: Broughton.
WHAT'S IN IT FOR YOU
- 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, this may include Days, Double-days and Nightshift. 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 insurance/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.
About the role
How you will contribute to the team:
- 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.
- 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 modeling 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 artificial intelligence 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.
- Pro-actively contribute to the creation of and re-use of industrial-level AI solutions.
About you:
- 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 communicating insights during the operate phase.
- You have in-depth knowledge of computer science and programming languages; English level: fluent or negotiation level.
- Rigorous, analytical and creative mind.
- You are a leader and are naturally allocating or taking actions, managing the schedule to make things happen.
- Skills in people coordination and alignment, especially from different business functions.
How we can support you:
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. Please 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.
Company: Airbus Operations Limited
Employment Type: Permanent
Experience Level: Professional
Job Family: Digital
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.
Manufacturing Engineering Data Scientist in Broughton employer: Airbus
Contact Detail:
Airbus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Engineering Data Scientist in Broughton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and role thoroughly. Understand their projects and challenges, especially in manufacturing and data science. This will help you tailor your answers and show you're genuinely interested.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle real-world scenarios during interviews. Brush up on your statistics, machine learning, and AI techniques so you can impress with your analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Manufacturing Engineering Data Scientist in Broughton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Manufacturing Engineering Data Scientist role. Highlight relevant experience in data analytics, machine learning, and any industry-specific knowledge you have. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. Don’t forget to mention any specific projects or achievements that relate to the job description.
Showcase Your Technical Skills: Since this role involves a lot of data analysis and programming, make sure to showcase your technical skills clearly. List the programming languages and tools you’re proficient in, and provide examples of how you've used them in past projects.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to track your application status. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Airbus
✨Know Your Data Inside Out
As a Manufacturing Engineering Data Scientist, you’ll be dealing with a lot of data. Make sure you understand the data flow through processes and applications. Brush up on your knowledge of statistics, machine learning, and AI techniques, as these will be crucial in your role.
✨Showcase Your Collaboration Skills
This role involves working with cross-functional teams, so be prepared to discuss your experience in collaborating with different departments. Think of examples where you’ve successfully gathered and analysed data requirements from various stakeholders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and creative thinking. Be ready to explain how you would approach mapping business needs into statistical problems and how you would run controlled experiments to find solutions.
✨Demonstrate Your Leadership Qualities
The job requires someone who can take initiative and manage schedules effectively. Prepare to share instances where you’ve led projects or coordinated teams, especially in a manufacturing or aerospace context. Highlight your ability to influence and align different business functions.
