{"id":174315,"url":"https://alion.io/job/airbus-flight-physics-artificial-intelligence-and-machine-learning-data-scientist-farmer","title":"Flight physics ARtificial intelligence and Machine learning Data Scientist - FARMer","company":{"id":3100,"name":"Airbus","domain":"airbus.com","url":"https://alion.io/company/airbus","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":500,"ghost_share":0.002,"stale_share":0.73,"repost_share":0.016,"time_to_fill_p50_days":27,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Verification & Validation","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C++","optional":true},{"name":"DVC","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Fortran","optional":true},{"name":"GCP","optional":true},{"name":"MLFlow","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-07-03T00:00:00Z","employer_posted_date":"2026-07-03","last_verified_at":"2026-10-24T21:16:55Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":113},"description":"Job Description:\nFlight Physics CoC is looking for a Machine Learning and Data Scientist Engineer to join our Flight Physics FARM team.\nThe 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.\nYou 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.\nAccoutabilities:\nThe central team of data scientists and AI specialists in 1GZT is accountable for:\nTechnical Expertise: They are the deep-level experts responsible for selecting, developing, and applying advanced AI techniques, such as LLMs, CNNs, and creating surrogate models.\n\nFraming & 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.\n\nCentralized 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.\n\nV&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.\n\nMain activities\nData Analytics: Apply your data science expertise to process, analyze, and interpret flight physics data.\n\nProcess Improvement: Identify and drive process improvements, build compelling business cases, and test, mature, and industrialize these improvements to enhance our capabilities.\n\nCommunity Building: Build and foster the FARM community in flight physics to promote exchange, mutual support, and co-creation.\n\nNetworking: Connect with data science networks both within and outside Airbus to share knowledge and best practices.\n\nTeam 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.\n\nLeadership: Mentor and inspire technical teams, introducing data science methods to drive innovation and efficiency in engineering organizations.\n\nPrototyping 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\n\nDomain 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.\n\nData Governance: Establish data ownership, improve data traceability, and ensure that \"fuel for AI\" is accessible, clean, and standardized across 1G.\n\nSupplier management: Manage external partners on technical deliverables for computing infrastructure, data engineering where needed.\n\nDesired skills and qualifications\nMaster’s degree in Aerospace Engineering, Mathematics, Data Science, Computer Science, or a related field.\n\nProven track record in data science and analytics with at least 5 years of professional experience, including experience in AI and big data analytics.\n\nProficiency in Python and fluency in the core data-science stack (NumPy, SciPy, Pandas, Scikit-Learn, PyTorch, Jupyter).\n\nExperience with SQL and basic proficiency in C/C++ and Fortran are additional assets.\n\nFamiliarity with the design and maintenance of robust ETL pipelines (Airflow, Spark, or equivalent) and databases (on-premises or in cloud).\n\nHands-on experience with major cloud analytics stacks (AWS, Azure, Google Cloud) for large-scale processing and model serving.\n\nExperience implementing experiment and model tracking for reproducibility and suitable for regulatory reviews (e.g., MLflow, DVC).\n\nKnowledge in Flight Physics in the aerospace context is mandatory\n\n5+ years Experience in aircraft design, characterization, simulation is mandatory.\n\nExperience in the aerospace industry or a related field will be valuable. In particular, experience with engineering or physics-based simulations is a strong plus.\n\nExcellent interpersonal and communication skills, with the ability to work effectively in a team environment.\n\nStrong analytical and problem-solving skills, with a focus on data-driven decision-making.\n\nAbility to explain complex methods and the strategic value of data science to both engineers and senior managers.\n\nIntegrity, confidence to speak up, and a commitment to act with integrity.\n\nEvident ability to learn and grow fast.\n\nGood analytical capabilities, assertive and stress resilient.\n\nProven experience mentoring technical teams and introducing data-science methods in engineering organizations.\n\nSupplier management experience (Mandatory)\n\nAdvanced proficiency in English.\n\nWillingness to travel as needed.\n\nCommitment to compliance and integrity.\n\nThis 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.\nThis 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.\nCompany:\nAirbus India Private LimitedEmployment Type:\nPermanent-------\nExperience Level:\nProfessionalJob Family:\nDigital By 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.\nAirbus 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.\nAirbus 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 .\nAt Airbus, we support you to work, connect and collaborate more easily and flexibly. 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