Airbus Aircraft

Company Name: Airbus Aircraft
Job Title: Stage 2026- PMO - Digital & Data Science (h/f)
Job Description: Job Title: PMO Internship – Digital & Data Science (June 2026) Role Summary: Support the Project Management Office (PMO) in coordinating and tracking strategic projects within the Digital & Data Science domain. Apply project management principles, data‑driven decision making, and cutting‑edge digital tools to ensure timely, high‑quality delivery of cross‑programme initiatives. Expectations: • 6‑month internship, starting June 2026 (flexible date). • Valid undergraduate or master’s student (Bac+4/5) in Engineering, Commerce, Data Science or related field. • Advanced written and spoken English; intermediate French required. • Demonstrated interest in project management, digital technologies, and data analytics. Key Responsibilities: • Assist project managers with daily coordination, scheduling, and status reporting. • Maintain and update project management tools (e.g., Planisware) and project documentation. • Prepare project reports and presentations for internal stakeholders. • Analyse project data to identify trends, risks, and opportunities for improvement. • Contribute to special initiatives applying data‑science methods and digital solutions (e.g., Google Gemini, Palantir) to project management challenges. Required Skills: • Basic knowledge of project management principles and methodologies. • Familiarity with digital platforms (Google Gemini, Palantir) – a plus. • Understanding of core data‑science concepts (data analysis, modelling). • Proficiency with office productivity tools; experience with PM tools (Planisware) is advantageous. • Strong analytical, problem‑solving, and proactive mindset. • Excellent teamwork, communication, and stakeholder‑management skills. Required Education & Certifications: • Enrolled in a Bac+4/5 program in Engineering, Commerce, Data Science, or equivalent. • No specific certifications required; knowledge of PM or data‑science courses is beneficial.

Toulouse, France

Hybrid

28-11-2025

Company Name: Airbus Aircraft
Job Title: Stage 2026 - Gestion de projet qualité (ALL GENDER)
Job Description: **Job Title:** Project Management Quality Internship (All Genders) **Role Summary:** Six‑month internship supporting quality improvement projects in the production plant. Student will assist the quality cross‑functional team in implementing continuous improvement initiatives, ensuring compliance with aviation authority standards, and aiding the project manager with planning, documentation, and change management. **Expectations:** - Enroll in a BAC+5 (master’s level) programme in Engineering, Quality Management or Project Management. - Demonstrate intermediate English proficiency and fluent French. - Be proactive, autonomous, and a strong communicator. - Show willingness to learn, adapt, and challenge existing processes. - Be available to start within the first quarter of 2026. **Key Responsibilities:** - Analyse current processes and propose simple, sustainable quality solutions. - Support projects such as the re‑alignment of archival procedures to meet regulatory requirements. - Liaise with plant functions to maintain overall coherence of quality activities. - Assist the project manager in organising schedules, resources and reporting progress. - Participate in change‑management initiatives and foster continuous improvement culture. **Required Skills:** - Knowledge of quality systems and project management principles. - Analytical and synthesis abilities; strong written communication. - Basic understanding of aerospace manufacturing (desirable). - Ability to work autonomously and collaboratively in a fast‑paced environment. - Familiarity with continuous improvement tools (e.g., Lean, Six Sigma) preferred. **Required Education & Certifications:** - Current enrolment in a Master’s (BAC+5) in Engineering, Quality Management, or Project Management programmes. - No specific certifications required, but Lean/Six Sigma certification is advantageous.

Toulouse, France

Hybrid

29-11-2025

Company Name: Airbus Aircraft
Job Title: Executive Grading Specialist (f/m)
Job Description: **Job title** Executive Grading Specialist (f/m) **Role Summary** Manage and enforce Airbus Executive grading methodology across all divisions and locations. Act as subject‑matter expert on job evaluation, maintain consistency, lead the internal Job Value Community, provide analytics, reporting, and support digital transformation of grading processes. **Expectations** - Deliver accurate, consistent grading for Executive level (Band III+) globally. - Maintain and update grading frameworks and documentation. - Lead governance, community facilitation, and cross‑division alignment. - Provide timely analytics, reports, and ad‑hoc data insights. - Own Workday grading implementation and support AI‑driven grading initiatives. **Key Responsibilities** - Conduct job evaluations for new and existing Executive roles, produce outcomes for Executive Reward team and HR leadership. - Develop and enforce policies, procedures, and guidelines for Executive grading; create documentation and guidance on grading framework. - Lead and animate the Job Value Community of Practice: ensure consistency across functions, divisions, and geography; facilitate best‑practice sharing and simplification of the job catalogue. - Prepare and present quarterly Executive Landscape reviews with Talent & Executive Management and Senior HRBPs. - Consolidate and analyze grading data across Divisions (Helicopters, Defence & Space, Commercial Aircraft). - Provide ad‑hoc data analysis and follow‑up for key strategic initiatives. - Serve as Workday Business Owner for grading position implementation. - Implement digital solutions (AI, G‑Sites, etc.) to modernize grading processes. - Support critical HR projects such as reorganisations, mergers, and acquisitions with expert grading input. **Required Skills** - Expert knowledge of Willis Tower Watson (WTW) grading methodology. - Strong communication, stakeholder management, and influence skills; ability to advise senior HRs and business leaders. - Excellent analytical and project management capabilities. - Experience in large‑scale, cross‑function HR or talent management initiatives. - Digital fluency: Workday experience, familiarity with AI, G‑Sites, and data analytics tools. **Required Education & Certifications** - Bachelor’s degree in Human Resources, Business Administration, Industrial/Organizational Psychology, or related field. - Professional HR certification (e.g., SHRM‑SP, HRCI SPHR, or equivalent) preferred.

Toulouse, France

Hybrid

02-12-2025

Company Name: Airbus Aircraft
Job Title: Stage: Intelligence artificielle et Science de données appliquées à la gestion de production de données techniques (h/f)
Job Description: **Job title** AI and Data Science Intern – Technical Data Production **Role Summary** A 6‑month internship focused on applying artificial intelligence, machine‑learning, and natural‑language‑processing techniques to improve the production, integration, and usability of technical maintenance data for civil aircraft. **Expectations** - Master 2 or 5th‑year engineering student in AI, data science or a related field. - Availability for a full‑time internship beginning February 2026 (duration 6 months). - Advanced proficiency in English and French; eligibility for a security clearance if required. **Key Responsibilities** - Analyse technical data requirements for aircraft maintenance documentation. - Identify and evaluate automation and AI solutions (generative AI, ML, NLP) to support data production processes. - Extract, transform, and integrate data from diverse formats and databases. - Develop and deploy NLP and ML models to discover actionable insights and trends. - Visualise results in clear, concise dashboards and reports. - Propose and document process improvements for technical data production. **Required Skills** - Data analysis & statistical modeling. - AI/ML techniques: natural‑language processing, generic machine learning, generative AI. - Proficiency in Python, SQL, and data‑engineering tools. - Experience with data visualization (e.g., Power BI, Tableau, or similar). - Strong analytical, synthesis, and communication abilities. - Team‑oriented mindset; proactive, self‑directed learning. **Required Education & Certifications** - Master 2 / 5th‑year engineering degree in artificial intelligence, data science, or equivalent. - Advanced English (C1/C2) and French (C1/C2). - Security clearance or eligibility for one, if requested.

Toulouse, France

Hybrid

09-12-2025

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