Data Science Specialist

Data Science Specialist

Wolverhampton Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and maintain workflows in Teamcenter PLM, driving data strategy for engineering.
  • Company: Join HS Marston Aerospace, a leader in aerospace technology, making flights safer and more enjoyable.
  • Benefits: Enjoy competitive salary, 25 days holiday, pension scheme, private medical insurance, and more!
  • Why this job: Be part of a dynamic team innovating in data science and machine learning within the aerospace industry.
  • Qualifications: Bachelor’s degree in relevant fields; expertise in data science and machine learning required.
  • Other info: Occasional travel may be needed; role involves access to export-controlled information.

The predicted salary is between 28800 - 48000 £ per year.

Power & Controls: We make modern flights possible for millions of travelers and our military every second. Our major product lines are on-board virtually every aircraft flying. Be it keeping passengers safe with our emergency power generation systems or creating a positive in-flight experience through reliable cabin pressure controls and quieter engines, Power & Controls focuses on delivering a best-in-class experience to our customers. We hire the top people in the industry. Their ideas drive our performance, and their integrity keeps our customers happy. Join us as we take flight! Thermal and Fluid Management product lines are led from the Marston facility, which is based in Wolverhampton, as part of the Collins Aerospace Power and Controls Strategic Business Unit.

Responsibilities:

  • Development and Maintenance of Teamcenter PLM Tool: Create and maintain workflows and other automated processes within the Teamcenter PLM tool to ensure efficient and effective operations. Troubleshoot and resolve issues related to the Teamcenter PLM tool to support the engineering team’s needs.
  • Driving Data Strategy for Engineering: Support the development and implementation of the data strategy for the Engineering function, focusing on leveraging emerging technologies in data science and machine learning. Work closely with the Engineering leadership team and other Collins resources to identify opportunities for innovation and process improvement. Develop and deploy advanced data analytics and machine learning models to enhance the capability and efficiency of Engineering operations. Advocate for data-driven decision-making within the Engineering team and promote the adoption of new technologies and methodologies. Monitor industry trends and advancements in data science to ensure the organisation remains at the forefront of technological innovation. Collaborate with cross-functional teams to ensure data integrity, security, and accessibility.

Required Qualifications:

  • Bachelor’s degree in Engineering, Computer Science, Data Science, Information Technology, Science, or a related field.
  • Expertise in data science, including machine learning, data analytics, and data strategy development.

Preferred Skills:

  • Experience with Teamcenter PLM tool development and maintenance.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Experience working in an aerospace or defence environment is a plus.
  • Familiarity with data governance and data management best practices.

What We Offer:

  • Competitive Salary
  • Holiday entitlement is 25 days- plus bank holidays, plus ability to buy / sell up to 5 days
  • Standard Pension scheme 2:1 (matched up to max 10%)
  • Group Income Protection: 13 weeks full pay then 13 weeks 50%
  • Private Medical Insurance
  • Employee Assistance Program, further details of which are available from the Human Resources department.
  • RTX Scholar Program - further education
  • Employee selectable top up benefits
  • And so much more!

Additional Information:

  • This role may require occasional travel.
  • Ability to work in a dynamic and fast-paced environment.

Please don’t hesitate to get in touch if you have any questions about this role—I’m always happy to help clarify any details. I look forward to hearing from you. This position may involve access to export controlled information and hardware where an export license would be required for compliance with applicable laws and regulations. Employment will be subject to satisfactory security checks, export license approval, and if required, completion of a non-disclosure agreement. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Data Science Specialist employer: Collins Aerospace

At HS Marston Aerospace Limited, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Wolverhampton where innovation thrives. Our commitment to employee growth is evident through our RTX Scholar Program and a competitive benefits package that includes generous holiday entitlement and private medical insurance. Join us to be part of a team that values integrity, collaboration, and the pursuit of excellence in the aerospace industry.
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Contact Detail:

Collins Aerospace Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Specialist

✨Tip Number 1

Familiarise yourself with the Teamcenter PLM tool, as it's a key part of the role. Consider taking online courses or tutorials to enhance your understanding and showcase your initiative during interviews.

✨Tip Number 2

Stay updated on the latest trends in data science and machine learning. Being able to discuss recent advancements or case studies can demonstrate your passion and knowledge in the field during conversations with the hiring team.

✨Tip Number 3

Network with professionals in the aerospace and defence sectors. Attend industry events or join relevant online forums to connect with potential colleagues and gain insights that could be beneficial for your application.

✨Tip Number 4

Prepare to discuss how you can advocate for data-driven decision-making within teams. Think of examples from your past experiences where you've successfully implemented data strategies or improved processes through analytics.

We think you need these skills to ace Data Science Specialist

Data Science Expertise
Machine Learning
Data Analytics
Data Strategy Development
Teamcenter PLM Tool Proficiency
Problem-Solving Skills
Analytical Skills
Communication Skills
Collaboration Abilities
Data Governance Knowledge
Data Management Best Practices
Adaptability to Emerging Technologies
Understanding of Aerospace and Defence Environments
Cross-Functional Team Collaboration

Some tips for your application 🫡

Understand the Role: Thoroughly read the job description for the Data Science Specialist position. Make sure you understand the responsibilities and required qualifications, especially focusing on data science, machine learning, and Teamcenter PLM tool experience.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your expertise in data analytics, problem-solving abilities, and any experience in aerospace or defence environments.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background makes you a perfect fit for the role. Mention specific projects or experiences that demonstrate your ability to drive data strategy and collaborate with teams.

Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your documents are clear, concise, and professional to make a strong impression.

How to prepare for a job interview at Collins Aerospace

✨Showcase Your Data Science Expertise

Make sure to highlight your experience with data science, particularly in machine learning and data analytics. Prepare examples of projects where you've successfully implemented these skills, as this will demonstrate your capability to drive the data strategy for engineering.

✨Familiarise Yourself with Teamcenter PLM Tool

Since the role involves the development and maintenance of the Teamcenter PLM tool, it's crucial to have a good understanding of its functionalities. If you have prior experience, be ready to discuss specific workflows or processes you've created or improved.

✨Emphasise Problem-Solving Skills

The job requires excellent problem-solving abilities, so prepare to discuss challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

✨Demonstrate Communication and Collaboration

As the role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight your communication skills and how they contributed to achieving project goals.

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