Data Science Specialist

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
• An 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.  

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