At a Glance
- Tasks: Develop and maintain workflows in the Teamcenter PLM tool while driving data strategy for engineering.
- Company: Join Raytheon Technologies, a leader in aerospace and defence, shaping the future of flight.
- Benefits: Enjoy competitive salary, 25 days holiday, private medical insurance, and more perks!
- Why this job: Be part of a dynamic team innovating with data science in a fast-paced aerospace environment.
- Qualifications: Bachelor's degree in relevant fields with expertise in data science and machine learning required.
- Other info: Occasional travel may be needed; security checks and export license compliance apply.
The predicted salary is between 36000 - 60000 £ per year.
Date Posted:
2025-06-26
Country:
United Kingdom
Location:
HS Marston Aerospace Limited, Wobaston Road, Fordhouses, Wolverhampton, WV10 6QJ
Position Role Type:
Unspecified
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 keep 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
Some of our competitive benefits package includes:
- 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.
P lease 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.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
About the company
Raytheon Technologies is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises four industry-leading businesses – Collins Aerospace, Pratt & Whitney, Raytheon Intelligence & Space and Raytheon Missiles & Defense.
Notice
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Data Science Specialist employer: Pratt & Whitney
Contact Detail:
Pratt & Whitney 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.
✨Tip Number 2
Stay updated on the latest trends in data science and machine learning. Follow relevant blogs, attend webinars, or join online communities to demonstrate your passion for innovation in your discussions.
✨Tip Number 3
Network with professionals in the aerospace and defence sectors. Attend industry events or connect on platforms like LinkedIn to gain insights and potentially get referrals that could help your application stand out.
✨Tip Number 4
Prepare to discuss how you've used data-driven decision-making in past projects. Be ready with specific examples that highlight your problem-solving skills and ability to collaborate with cross-functional teams.
We think you need these skills to ace Data Science Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and any specific tools like Teamcenter PLM. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for aerospace and defence, and explain how your skills align with the responsibilities outlined in the job description. Mention specific projects or experiences that showcase your expertise in data analytics.
Showcase Problem-Solving Skills: Provide examples in your application that illustrate your problem-solving abilities, particularly in relation to data strategy development and troubleshooting. This will help demonstrate your analytical skills to the hiring team.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise any past experiences where you successfully collaborated with others. This could include teamwork on projects or initiatives that required strong communication and collaboration skills.
How to prepare for a job interview at Pratt & Whitney
✨Showcase Your Data Science Skills
Be prepared to discuss your expertise in data science, particularly in machine learning and data analytics. Bring examples of past projects where you've successfully implemented these skills, as this will demonstrate your capability to contribute to the engineering team's data strategy.
✨Familiarise Yourself with Teamcenter PLM Tool
Since the role involves the development and maintenance of the Teamcenter PLM tool, it’s crucial to understand its functionalities. If you have experience with it, be ready to share specific instances where you’ve used it to improve workflows or resolve issues.
✨Emphasise Problem-Solving Abilities
The job requires excellent problem-solving skills. Prepare to discuss challenges you've faced in previous roles and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Demonstrate Communication and Collaboration Skills
This position involves working closely with cross-functional teams. Be ready to provide examples of how you've successfully collaborated with others in the past, highlighting your communication style and ability to advocate for data-driven decision-making.