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Internship : Structures - Data Analytics
India
Job Description:
❖ Strong python programming skills
❖ Strong fundamentals in Statistics & Probability
❖ Dashboarding/App development in environments like Dash, React.JS etc.
❖ Data-driven decision science
- - - - -
Good to have (not mandatory)
❖ Basic understanding of System Engineering and Aerospace/ Aviation
❖ Basic Knowledge of Engineering Simulations
❖ Basic Knowledge of Sensitivity analysis, Surrogate Modelling & Robust Optimization
- - - - -
Preferred Language: Python
UQ Frameworks: OpenTURNS, Scipy.stats, GemSEO or any similar statistics package
Data Science Frameworks: Scikit-Learn, Keras, Tensorflow, Pytorch etc.
Environments: Jupyter Notebook / Anaconda, Visual Studio Code etc.
- - - - - -
Soft Skills:
- Excellent communication skills
- Willingness to learn new skills, self-development and Problem-solving orientation
- Fail-fast mindset and Solutions approach
- Research mindset
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus India Private LimitedEmployment Type:
Internship-
Experience Level:
Entry LevelJob Family:
Digital <JF-IM-DI>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
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