Data Scientist – Research & Analysis

Scope of Work

As a Data Scientist in the Research & Analysis division, you will work closely with engineering teams on the analysis, modeling, and interpretation of data originating from combat jet engine and cryogenic propulsion system tests. This includes sensor data, simulation outputs, structural test logs, and real-time telemetry. Your insights will directly contribute to the performance optimization, predictive maintenance, and digital twin development of next-generation aerospace engines.

Nature of Work

• Design and implementation of data pipelines for engine and structural test facilities
• Development of machine learning models to predict engine health and failure modes
• Integration of real-time telemetry with physics-based models and digital twins
• Collaborate with thermal, structural, and fluid dynamics teams to co-relate analytical models with empirical data
• Visualization of large-scale simulation and test data using custom dashboards
• Automated anomaly detection systems for continuous engine testing
• Support validation and certification documentation with statistical evidence

Job Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, Aerospace, or related field
• Strong foundation in statistics, numerical modeling, and time-series analysis
• Proficient in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow or PyTorch
• Experience with data visualization tools such as Plotly, D3.js, or Power BI
• Familiarity with aerospace engineering datasets (CFD, FEA, telemetry, vibration, etc.) is a plus
• Understanding of physical modeling techniques and integration with ML models
• Comfortable working in Linux environments and with cloud-based data infrastructure
• Excellent analytical thinking and documentation skills

Eligibility

• Indian nationals or OCI holders with eligibility to work in India
• Genuine interest in national aerospace and defense innovation
• Publications, projects, or GitHub portfolios related to aerospace data analytics are a plus