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- 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 compliance are mandatory.
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.
Data Science Specialist employer: Pratt & Whitney
Contact Detail:
Pratt & Whitney Recruiting Team
accessibility@talentify.io
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 understand its functionalities and how it integrates with data science applications.
✨Tip Number 2
Stay updated on the latest trends in data science and machine learning, especially within the aerospace sector. Follow relevant blogs, attend webinars, and engage with industry professionals to enhance your knowledge and network.
✨Tip Number 3
Highlight any experience you have in advocating for data-driven decision-making. Prepare examples of how you've successfully implemented data strategies or improved processes in previous roles to demonstrate your impact.
✨Tip Number 4
Connect with current employees at HS Marston Aerospace Limited on LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
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: Write a cover letter that showcases your passion for aerospace and defence, as well as your expertise in data strategy development. Mention how your skills can contribute to the company's goals and innovations.
Showcase Problem-Solving Skills: In your application, provide examples of how you've successfully solved complex problems in previous roles. This is particularly important for a position that requires excellent analytical skills.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise your experience in collaborative projects. Mention specific instances where you worked effectively with others to achieve a common goal.
How to prepare for a job interview at Pratt & Whitney
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Science Specialist, especially regarding Teamcenter PLM tool development and data strategy. Familiarise yourself with the specific technologies and methodologies mentioned in the job description.
✨Showcase Your Expertise
Prepare to discuss your experience with data science, machine learning, and data analytics. Be ready to provide examples of how you've applied these skills in previous roles, particularly in an engineering context.
✨Demonstrate Problem-Solving Skills
Since the role requires excellent problem-solving abilities, think of specific challenges you've faced in past projects and how you overcame them. This will show your analytical skills and ability to troubleshoot effectively.
✨Emphasise Collaboration
Highlight your communication and collaboration skills, as the position involves working closely with cross-functional teams. Share examples of successful teamwork and how you advocate for data-driven decision-making within a group.
