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, Scikit-Learn, PyTorch, Jupyter).
Experience with SQL and basic proficiency in C/C++ and Fortran are additional assets.
Familiarity with the design and maintenance of robust ETL pipelines (Airflow, Spark, or equivalent) and databases (on-premises or in cloud).
Hands-on experience with major cloud analytics stacks (AWS, Azure, Google Cloud) for large-scale processing and model serving.
Experience implementing experiment and model tracking for reproducibility and suitable for regulatory reviews (e.g., MLflow, DVC).
Knowledge in Flight Physics in the aerospace context is mandatory
5+ years Experience in aircraft design, characterization, simulation is mandatory.
Experience in the aerospace industry or a related field will be valuable. In particular, experience with engineering or physics-based simulations is a strong plus.
Excellent interpersonal and communication skills, with the ability to work effectively in a team environment.
Strong analytical and problem-solving skills, with a focus on data-driven decision-making.
Ability to explain complex methods and the strategic value of data science to both engineers and senior managers.
Integrity, confidence to speak up, and a commitment to act with integrity.
Evident ability to learn and grow fast.
Good analytical capabilities, assertive and stress resilient.
Proven experience mentoring technical teams and introducing data-science methods in engineering organizations.
Supplier management experience (Mandatory)
Advanced proficiency in English.
Willingness to travel as needed.
Commitment to compliance and integrity.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus India Private LimitedEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
DigitalBy submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected].
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
Skills Required
- Master's degree in Aerospace Engineering, Mathematics, Data Science, Computer Science, or related field
- Minimum 5 years professional experience in data science and analytics, including AI and big data analytics
- Minimum 5 years experience in aircraft design, characterization, simulation
- Mandatory knowledge in Flight Physics in the aerospace context
- Proficiency in Python and core data-science stack (NumPy, SciPy, Pandas, Scikit-Learn, PyTorch, Jupyter)
- Familiarity with design and maintenance of ETL pipelines and databases (e.g., Airflow, Spark)
- Hands-on experience with major cloud analytics stacks (AWS, Azure, Google Cloud)
- Experience implementing experiment and model tracking for reproducibility and regulatory review (e.g., MLflow, DVC)
- Proven experience mentoring technical teams and introducing data-science methods in engineering organizations
- Supplier management experience
- Advanced proficiency in English
- Willingness to travel as needed
- Experience with SQL
- Basic proficiency in C, C++ and Fortran
Airbus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
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Retirement Support — Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
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Leave & Time Off Breadth — Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.
Airbus Insights
What We Do
Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.
