Explore career opportunities
Sustaining a high degree of technological excellence requires diverse talent. Whether you are a student, recent graduate or an experienced professional, and whether you are in R&D, production, product support or sales, a wide range of career opportunities await you at Safran.
Learn more about the many exciting and rewarding professional opportunities available at Safran through employee testimonials and detailed descriptions covering no fewer than 34 job categories.
Adrien Daste / Safran
To face the challenge of digital transformation and therefore the control of our data, it is necessary to develop new tools and new practices to exploit these new sources of information.
Data management is responsible of the governance, design and implementation of architectures and process allowing to gather, store, validate, manage and protect data throughout their life cycle to ensure reliability and accessibility.
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Meeting with Chirine Wolley, Data Scientist at Safran Analytics
Chirine, a Data Scientist, joined the Group less than a year ago. At Safran Analytics, she participates in data analysis projects to improve process performance and create value. She tells us about her job, which is new to the Group.
What is your mission within Safran Analytics?
Chirine Wolley: Today, a large quantity of data is available in Safran. These data come from connected machines in our production lines or from our products during flight for example. Safran companies (Safran Landing Systems, Safran Aircraft Engines, etc.) need specialized support to take advantage of the immense wealth of this data.
As a Data Scientist, my role is to analyze data according to their context. We do this first by interacting with the business teams to better understand the issues they deal with and therefore to draw relevant conclusions. Then, based on the results of our analyses, we make recommendations for improvements and participate in the definition of the action plan.
For these projects, the Data Scientist very often works closely with Data Engineers and Software Engineers. They help us to use and choose the data analysis platforms and digital tools adapted to the problems being dealt with, and then assist us in putting them into production.
What qualifications did you need to become a Data Scientist?
C. W.: I came through university: after a bachelor's degree in mathematics, I did a master's in statistical probability. Then I did a doctorate in applied mathematics, followed by a one-year post-doc* at Telecom ParisTech.
I have worked a lot in research laboratories, particularly in the medical field.
What qualities are required for your profession?
C. W.: Above all, you must know how to analyze and synthesize! But you must also be able to communicate with the business teams, with whom we are constantly in contact: they have a problem to resolve and most importantly know their business inside out, which is absolutely essential to properly interpret the data.
I think you also need to be curious, because the methods and tools we use are constantly evolving, and if you don't pay attention, you can quickly get left behind.
Finally, it's important to be creative and to ask yourself the right questions so that you can support the businesses in analyzing the data.
What do you like most about your job?
C. W.: The fact that the profession is constantly evolving makes it possible to test new tools, so you
never get bored. Being a data scientist also lets you work in very various contexts such as medicine, finance, aerospace and so on. This is very enriching for one's career.
There is also a mix between technology and human relations: you need a strong foundation in statistical mathematics, but at the same time you must know how to explain what you are doing. You're not sitting in front of a computer, on your own.
Where do you see yourself in a few years?
C. W.: It's hard to say at the moment, because I've only been at Safran for six months. Previously I was doing research, and the business world works quite differently. For the moment, I am still in the phase of understanding the field issues being raised by the companies, and I have to continue developing my project management skills: yet another new aspect of my profession!
* A post-doc or postdoctoral researcher works for a fixed period in a research laboratory.
Interview with Alexandre Vanbelle, Data Engineer at Safran Analytics
Alexandre Vanbelle, 32 years old, joined Safran Analytics when the entity was first set up in June 2015. In this interview, Alexandre explains his career path and tells us about his job as a Data Engineer working within the Group entity devoted to using data.
What are your duties and responsibilities within Safran Analytics?
A.V.: I joined Safran Analytics as a Data Engineer after holding an initial position creating digital services within the Safran Aircraft Engines Fablab. I'm tasked with setting up special platforms intended to store a very large volume of data with a view to then being able to process the data in batches and in real time too. My role is to facilitate the work of the Data Scientist, who is tasked with answering the questions asked by the profession, for example: "What can be done to efficiently calculate the replacement window of landing gears? ».
What training did you undertake to become a Data Engineer?
A.V.: After a "baccalauréat" in science, I went to Télécom Lille, a grande école specialized in training engineers in Science, Information Technology and Communication which runs an intensive 2-year access course to degree programs. After getting my degree, I worked in numerous research laboratories specialized in software engineering – my specialist area – within Alcatel-Lucent, Dassault Systèmes, and then Microsoft.
What qualities are needed to become a Data Engineer?
A.V.: I think the most important quality is to be inquisitive. The domain of new technology is constantly evolving, everything changes very quickly. You need to remain alert so as not to lose touch. Rigor is also a necessary quality for completing assignments correctly, since looking at statistics is one of the main occupations of Data Engineers. Lastly, you need great tenacity and a knack for teaching others: not giving up when a solution to a problem cannot be found the first time round, and knowing how to present possible alternatives to our "customers", by reassuring them about the validity of our approach.
What do you like most about your job?
A.V.: I never get bored! No two days are the same: we are involved in a wide range of varied projects dealing with different areas of expertise of the Group – engines or landing gears - and we are in contact with a large number of stakeholders. What is more, the Safran Analytics team boasts highly complementary profiles, which means we're able to broaden our skills. I personally like the fact that I'm able to use my expertise to work on global issue such as reducing carbon footprint. Indeed, reducing fuel consumption in the aerospace industry is something I feel strongly about, and I'm proud to be able to lend my expertise.
Where do you see yourself in a few years from now?
A.V.: I have evolved quickly within Safran Analytics. By December 2016, I'll be managing five employees. It's a real first for me, and I can't wait to take up the challenge, which I'm sure will help me develop. It's a responsibility I look forward to having over the coming years, to support the developments of Safran Analytics and train Data Engineers capable of taking up the technological and strategic issues of the future.