Flight Physics Artificial Intelligence and Machine Learning Data Scientist - Farmer
No salary listed
Senior
Master's
Bengaluru, Karnataka, India
In Person
AI & Machine LearningApplied Machine Learning
About the job
Requirements
- A Master’s degree in Aerospace Engineering, Mathematics, Data Science, Computer Science, or a related field is required.
- At least 5 years of professional experience in data science and analytics, including artificial intelligence and big data analytics, is required.
- Proficiency in Python and the core data-science stack, including NumPy, SciPy, Pandas, Scikit-Learn, PyTorch, and Jupyter, is required.
- Knowledge of Flight Physics in an aerospace context is mandatory.
- At least 5 years of experience in aircraft design, characterization, and simulation is mandatory.
- Supplier management experience is mandatory.
- Advanced proficiency in English is required.
- Strong analytical and problem-solving skills focused on data-driven decision-making are required.
- Ability to explain complex methods and the strategic value of data science to engineers and senior managers is required.
- Experience mentoring technical teams and introducing data-science methods in engineering organizations is required.
- Commitment to compliance and integrity is required.
Responsibilities
- Process, analyze, and interpret flight physics data using data-science expertise.
- Identify and drive process improvements, build business cases, and test, mature, and industrialize improvements to enhance capabilities.
- Build and foster the FARM community in Flight Physics to promote exchange, mutual support, and co-creation.
- Connect with data-science networks within and outside Airbus to share knowledge and best practices.
- Support and collaborate with aerodynamic engineering teams on daily tasks, especially during peak workloads involving wind-tunnel testing, numerical simulation, analysis, and modeling.
- Mentor and inspire technical teams, introducing data-science methods to drive innovation and efficiency in engineering organizations.
- Frame and build high-impact prototypes, including Vibration Killer and OAD Surrogates, and prepare them for industrialization by establishing MLOps and POD deployment workflows.
- Consult as a specialist within Aerodynamics, Loads, or Mass to identify pain points, define business cases and return on investment, and translate engineering needs into technical artificial-intelligence requirements.
- Establish data ownership, improve data traceability, and ensure data is accessible, clean, and standardized across 1G.
- Manage external partners on technical deliverables for computing infrastructure and data engineering where needed.
- Select, develop, and apply advanced artificial-intelligence techniques such as large language models and convolutional neural networks, and create surrogate models.
- Translate high-level business needs into technical requirements, develop initial validated artificial-intelligence models, and drive adoption of standardized MLOps and POD platforms for training and deployment.
- Partner with domain Technical Experts to define and execute the Verification and Validation strategy for prototypes in support of future certification.
Desired Qualifications
- Experience with SQL and basic proficiency in C/C++ and Fortran.
- Familiarity with designing and maintaining robust ETL pipelines using Airflow, Spark, or equivalent tools, and with on-premises or cloud databases.
- Hands-on experience with major cloud analytics stacks, including AWS, Azure, or Google Cloud, for large-scale processing and model serving.
- Experience implementing experiment and model tracking for reproducibility and regulatory reviews, such as MLflow or DVC.
- Experience in the aerospace industry or a related field, particularly engineering or physics-based simulations.
- Willingness to travel as needed.
About the company
Airbus designs and manufactures commercial airplanes, helicopters, military aircraft, and space systems like satellites and launch services. The company builds these products by integrating advanced airframes, propulsion systems, and digital communication networks to support global travel, defense, and scientific exploration. Airbus distinguishes itself through its massive global manufacturing network and its active development of hydrogen-powered aircraft to eliminate carbon emissions. Its goal is to provide safe, connected aerospace solutions while leading the industry toward sustainable flight and environmental responsibility.
Company Size
10,001+
Company Stage
IPO
Headquarters
Blagnac, France
Founded
1970
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Simplify's Take
What believers are saying
- Q2 2026 revenue rose 28% to €20.5 billion, with EBIT up 54%.
- H1 2026 deliveries reached 351 aircraft, reversing earlier supply-chain disruptions.
- Qantas's A350-1000ULR tests and Jet Zero's SAF funding deepen Airbus's premium partnerships.
What critics are saying
- Spanish strikes froze hiring in August 2026 and slowed military and commercial production.
- June 2026 engine shortages threatened Airbus's 870-jet target and dragged first-quarter deliveries.
- Boeing's challenge to the EIB loan escalates trade scrutiny and could tighten Airbus financing.
What makes Airbus unique
- Airbus spans jets, helicopters, defense, and space across Europe, China, and America.
- The A350F targets 109 tonnes and 115 orders before certification begins.
- The €3 billion EIB package funds research through 2030 across civil, defense, and technology.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Disability Insurance
- Paid Vacation
- Parental Leave
- 401(k) Retirement Plan
- Employee Stock Purchase Plan
- Professional Development Budget
- Flexible Work Hours