# Flight physics ARtificial intelligence and Machine learning Data Scientist - FARMer at Airbus

Airbus is hiring a Flight physics ARtificial intelligence and Machine learning Data Scientist - FARMer in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Airbus](https://jobsbylevel.com/go/97548682-58a8-46bd-88b9-fbd4e2358975?utm_medium=ai-agent).

AI Level 1, AI centrality 15 out of 100. Bangalore Area.

## Details

- Company: [Airbus](https://jobsbylevel.com/companies/airbus)
- AI level: AI Level 1 (score 15 out of 100)
- Location: Bangalore Area
- Posted: July 3, 2026
- Apply: https://jobsbylevel.com/go/97548682-58a8-46bd-88b9-fbd4e2358975?utm_medium=ai-agent

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/flight-physics-artificial-intelligence-and-machine-learning-data-scientist-farmer-at-airbus-7a53f7

## Description

Job Description: Flight Physics CoC is looking for a Machine Learning and Data Scientist Engineer to join our Flight Physics FARM team. The objective of the Flight Physics “FARM” team is to reinforce the technical and operational leadership in the 1G Artificial Intelligence ecosystem and be in position to support all the Flight Physics business needs. You will join the transnational Core Team, composed of 3-5 full-time data scientists and AI specialists, serves as the central technical execution engine and primary Doers (FARMer) tasked with moving AI concepts to working prototypes. This team translates high-level business needs into technical requirements, develops initial validated models, and drives the adoption of standardized MLOps and POD platforms to ensure technical consistency across the Flight Physics organization. Critically, they also partner with the domains and Technical Experts to define and execute the Verification & Validation (V&V) strategy essential for future certification. Accoutabilities: The central team of data scientists and AI specialists in 1GZT is accountable for: Technical Expertise: They are the deep-level experts responsible for selecting, developing, and applying advanced AI techniques, such as LLMs, CNNs, and creating surrogate models. Framing & Prototyping: Their primary focus is on rapid prototyping and feasibility studies for high-impact use cases (like the "Vibration Killer" lighthouse projects). They translate high-level business needs into technical requirements and develop the initial, validated AI models. Centralized Standards: They are responsible for driving the adoption of standardized tools and platforms like MLOps and POD for training and deployment, ensuring technical consistency across the Flight Physics organization. V&V Partnership: They work with the domains' Technical Experts to define and execute the Verification & Validation (V&V) strategy for the prototypes, which is critical for future certification. Main activities Data Analytics: Apply your data science expertise to process, analyze, and interpret flight physics data. Process Improvement: Identify and drive process improvements, build compelling business cases, and test, mature, and industrialize these improvements to enhance our capabilities. Community Building: Build and foster the FARM community in flight physics to promote exchange, mutual support, and co-creation. Networking: Connect with data science networks both within and outside Airbus to share knowledge and best practices. Team Support: Support and collaborate with aerodynamic engineering teams in their daily tasks, especially during peak workloads from industrial programs such as wind tunnel testing, numerical simulation, analysis, and modeling. Leadership: Mentor and inspire technical teams, introducing data science methods to drive innovation and efficiency in engineering organizations. Prototyping for Industrialization: Frame and build high-impact prototypes (e.g. Vibration Killer, OAD Surrogates). Prepare for hand-over for industrialization by building up MLOps and POD deployment workflows Domain Consulting: Act as a "detached" specialist within Aerodynamics, Loads, or Mass domains to identify pain points, define business cases (ROI), and translate engineering needs into technical AI requirements. Data Governance: Establish data ownership, improve data traceability, and ensure that "fuel for AI" is accessible, clean, and standardized across 1G. Supplier management: Manage external partners on technical deliverables for computing infrastructure, data engineering where needed. Desired skills and qualifications Master’s degree in Aerospace Engineering, Mathematics, Data Science, Computer Science, or a related field. Proven track record in data science and analytics with at least 5 years of professional experience, including experience in AI and big data analytics. Proficiency in Python and fluency in the core data-science stack (NumPy, SciPy, Pandas,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/flight-physics-artificial-intelligence-and-machine-learning-data-scientist-farmer-at-airbus-7a53f7

Source: https://jobsbylevel.com/jobs/flight-physics-artificial-intelligence-and-machine-learning-data-scientist-farmer-at-airbus-7a53f7

## Cite this page

Level. https://jobsbylevel.com/jobs/flight-physics-artificial-intelligence-and-machine-learning-data-scientist-farmer-at-airbus-7a53f7.

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