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- Tasks: Collaborate across departments to gather data and drive digital initiatives.
- Company: Leading aerospace company with a focus on innovation and flexibility.
- Benefits: Competitive salary, personal development opportunities, and flexible working arrangements.
- Why this job: Join a dynamic team and make an impact in the aerospace industry.
- Qualifications: Degree in Data Analytics or Data Science; experience in aerospace preferred.
- Other info: Exciting career growth in a forward-thinking environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading aerospace company based in Broughton is seeking a professional in data analytics to join their team. The role involves collaborating with various departments to gather data requirements and promote digital initiatives.
Ideal candidates will have a degree in Data Analytics or Data Science and experience in the aerospace industry.
This position offers competitive financial rewards, personal development opportunities, and a commitment to flexible working arrangements.
Manufacturing Data Scientist — AI/ML for Ops (Flexible) in Broughton employer: Airbus
Contact Detail:
Airbus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Data Scientist — AI/ML for Ops (Flexible) in Broughton
✨Tip Number 1
Network like a pro! Reach out to folks in the aerospace industry on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those related to AI/ML. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨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 connect directly with us.
We think you need these skills to ace Manufacturing Data Scientist — AI/ML for Ops (Flexible) in Broughton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and any relevant projects you've worked on, especially in the aerospace industry. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our digital initiatives. We love seeing candidates who can connect their personal goals with our mission.
Showcase Your Collaboration Skills: Since this role involves working with various departments, highlight any teamwork experiences you've had. We value collaboration, so share examples of how you've successfully gathered data requirements or worked on cross-functional projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Airbus
✨Know Your Data Inside Out
Make sure you’re well-versed in data analytics concepts and tools relevant to the aerospace industry. Brush up on your knowledge of AI/ML applications in operations, as this will show your potential employer that you’re not just familiar with the theory but can apply it practically.
✨Showcase Collaborative Skills
Since the role involves working with various departments, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight any projects where you gathered data requirements or promoted digital initiatives, as this will demonstrate your ability to work cross-functionally.
✨Prepare for Technical Questions
Expect some technical questions related to data science and analytics. Review common algorithms, data processing techniques, and any specific tools mentioned in the job description. Practising these will help you feel more confident and articulate during the interview.
✨Emphasise Flexibility and Adaptability
With a commitment to flexible working arrangements, it’s important to convey your adaptability. Share experiences where you’ve thrived in dynamic environments or adjusted to changing project requirements, showcasing that you can handle the flexibility the company offers.
