Airframe Data Scientist Placement (12.5 months)
Core
Develop and support digital solutions, including web services, data science, and Machine Learning, for Airframe engineering processes, methods, and tools.
Role type
Student placement data scientist (Applied AI Methods & Services)
Builds
Digital solutions for airframe design, development, and lifecycle management
Domain
Aerospace engineering + AI/ML
Deliverable
production ML models | product features
Required skills
Data preparation and cleaning, data visualization, statistics, Python, NumPy, SciPy, Matplotlib, OpenCV, TensorFlow, Pandas, PySpark
Preferred skills
Git, GitHub
Responsibilities
Develop Process, Method and Tools (PM&T) initiatives; Investigate data to solve engineering problems; Perform validation and acceptance tests of new tools; Develop innovative digital solutions with experts
Seniority
Student placement (Undergraduate only)
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