AI & Data Analytics Internship with Mentorship

Airbus; West of England; Hybrid; GBP 22,000 - 27,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid working options

Half day Fridays

25 days holiday

Job summary

Airbus Operations Limited in Filton, Bristol, invites undergraduates to join a 12.5‑month internship focused on AI and data analytics within Landing Gear. The start date is 16 August 2027, with hybrid working options and a salary of £24,246 for 35 hours per week.

The internship provides mentorship and hands-on experience with Cloud computing, Full‑Stack development, and advanced GenAI/RAG frameworks, preparing you for a career in aerospace software engineering.

Qualifications

• Open to undergraduates for the full duration of the placement.
• Studying relevant fields: Engineering, Mathematics, Physics, Computer Science, Data Science and Analytics.
• Willingness to learn, proactive mindset, problem-solving ability.
• Desirable: basic Python knowledge; familiarity with HTML/CSS, JavaScript and databases.

Responsibilities

• Build AI-driven applications and integrate AI models into scalable software solutions.
• Explore Retrieval-Augmented Generation (RAG) pipelines and agentic AI workflows.
• Learn deployment and management on Google Cloud Platform (GCP).
• Contribute to front-end and back-end development of data-intensive applications.
• Participate in team meetings, code reviews and architecture planning.

Skills

Undergraduate status

Hunger to Learn

Drive to Contribute

Problem-Solving Mindset

Python exposure

Education

Engineering/related degree (in progress)

Mathematics/Physics/CS/Data Science and Analytics

Tools

Python (basic knowledge)

Job description

Airbus Operations Limited in Filton, Bristol, invites undergraduates to join a 12.5‑month internship focused on AI and data analytics within Landing Gear. The start date is 16 August 2027, with hybrid working options and a salary of £24,246 for 35 hours per week.

The internship provides mentorship and hands-on experience with Cloud computing, Full‑Stack development, and advanced GenAI/RAG frameworks, preparing you for a career in aerospace software engineering.