Understand and translate business needs into statistical, machine learning, or AI problem spaces.
Collaborate with IT and Data Analysts to extract and integrate structured and unstructured data from various sources.
Work closely with Data Engineers to design scalable data pipelines and ensure productive data flow for model training and evaluation.
Design and execute controlled experiments to identify and validate optimal solutions.
Implement solutions using state-of-the-art algorithms and software engineering best practices.
Create monitoring protocols to ensure models align with evolving business needs.
Contribute to the development and reusability of industrial-grade AI solutions.
Share best practices, insights, and techniques with the wider data community.
Ensure compliance with all external and internal regulations and standards.
Develop solutions responsibly in line with Airbus ethical AI principles

Key Competencies:Competency &Skill; Level

AI: Machine Learning & Deep Learning : 3 - Advanced Level

Artificial Intelligence (AI) Approaches : 3 - Advanced Level





Applied probabilities & Statistics : 3 - Advanced Level

Software engineering fundamentals : 2 - Autonomous Level

Data Governance Management System : 2 - Autonomous Level

Data Science: Advanced Analytics : 3 - Advanced Level

Data Science: Data visualisation & Coms : 3 - Advanced Level

Data Science: Data Wrangling : 3 - Advanced Level

Data Security : 1 - Basic Level

Generative AI Essentials & Prompting : 3 - Advanced

Eco-design & Sustainability of Digital services : 2 - Autonomous Level
Competency Scale: _
Basic Level : Basic level of expertise, performs routine and/or recurrent tasks, implies partial supervision.
Autonomous Level : Ability to solve problems autonomously, no supervision required in these tasks. Can deal with unforeseen issues.
Advanced Level _: High Level of knowledge and wide experience which is internally recognised. Could be a mentor/coach/advisor t

📌 Data Scientist Bengaluru (India)
🏢 Airbus India Private
📍 India