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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 Astley 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 Astley
✨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 common data science questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Manufacturing Data Scientist — AI/ML for Ops (Flexible) in Broughton Astley
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 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 are genuinely excited about the role.
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’re considered for the role. Plus, it’s super easy!
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 Collaboration Skills
Since the role involves working with various departments, be prepared to discuss examples of how you've successfully collaborated in the past. Think about specific projects where you gathered data requirements or promoted digital initiatives, and be ready to share those experiences.
✨Prepare Questions About Flexibility
Given the emphasis on flexible working arrangements, come prepared with questions about how the company supports work-life balance. This shows that you value flexibility and are serious about finding a role that fits your lifestyle.
✨Highlight Personal Development Goals
The job description mentions personal development opportunities, so think about your career goals and how they align with the company's vision. Be ready to discuss how you plan to grow within the role and contribute to the team’s success.
