Company: Safran Seats
Job field: Data
Location: Cwmbran, Wales, United Kingdom
Contract type: Apprenticeship
Contract duration: Full-time
Professional status: Student
Safran Seats GB is proud to announce the launch of its 2024 Apprenticeship recruitment campaign. This year we have 2 opportunities in Data Analytics within our Supply Chain Function.
Safran Seats are an industry award-winning, premium designer and manufacturer of First and Business Class seating and technology. Our passenger experience prides itself on innovation, customization, quality, and industrial design.
At Safran Seats, we are unique within aerospace, as we interface with both the world's biggest airlines and air framers alike, with the largest seats portfolio of all seats suppliers. One day you could be dealing with one of the world's largest air framers, and the next, some of the biggest airline brands around the world!
In the UK, Safran Seats specializes solely in the First Class and Business Class seating markets for wide-body aircraft, with industrial and engineering teams in Cwmbran and Newport, Wales.
Are you passionate about data and how it can be used to give you a greater understanding of a situation? Do you enjoy using data to solve problems and recommend solutions? Do you like working with others as part of a team? Would you like to gain practical experience whilst studying for a qualification and be paid for the privilege?
If the answer to all of these is yes, then this could be the role for you!
As an apprentice Data Scientist, you will gain on-the-job experience whilst studying up to a degree to become a fully qualified Data Scientist. You will learn about the fundamental building blocks of data science, programming, business systems, and data governance whilst being involved in its practical application in a business context. You will be a part of a new team shaping the way forward in the use of data science and new data solutions such as AI and machine learning within Safran Seats GB (SGB).
You will support the Master Data Manager in delivering the data 4.0 roadmap at SGB.
Key Responsibilities:
Successful candidates will hold A-Levels in STEM subjects, or equivalent.
Successful candidates will have: