Data Scientist

Job Description:

Airbus Innovation Centre - India & South Asia: 

Airbus Innovation Centre - India & South Asia is responsible for industrializing disruptive technologies by tapping into the strong engineering competencies centre while also leveraging and co-creating with the vibrant external ecosystems such as big Tech Enterprises, mature startups/MSMEs, national labs & universities and strategic partners (customers, suppliers etc.)

The technology areas that the Innovation Centre focus on are - Artificial Intelligence, Industrial Automation, Unmanned Air Systems, Connectivity, Space Tech, Autonomy, Decarbonization Technologies etc. among others.

Airbus Innovation Centre in India is 1 among 3 Innovation Centres globally for Airbus with a strong focus on A.I. and Digital Engineering. We build products from the ground up with the help of stakeholders from within Engineering and Digital competence centres (in addition to the external stakeholders mentioned above) to deliver operational excellence and contribute to the Innovation & Technology roadmap of the organization.

Skills: Artificial Intelligence(AI), Data Science, Machine Learning,
 

• Develop and implement advanced statistical and machine learning models to analyze large and complex datasets in the aviation industry.

• Collaborate with cross-functional teams to identify business challenges and formulate data-driven solutions that address key aviation industry problems.

• Extract, clean, and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.

• Apply data mining techniques to discover patterns, trends, and actionable insights that contribute to business growth and operational optimization.

• Build predictive models and conduct forecasting analysis to improve efficiency and efficacy.

• Utilize data visualization tools to communicate complex findings and present actionable recommendations to stakeholders and senior management.

• Stay up-to-date with industry trends, emerging technologies, and best practices in data science and aviation to drive innovation and maintain a competitive edge.

• Mentor and provide guidance to junior data scientists, fostering a collaborative and knowledge-sharing environment within the team.

• Collaborate with IT teams to ensure seamless integration and deployment of data science solutions into existing systems and processes.

• Maintain a strong focus on data privacy, security, and ethical considerations in all data science activities.

Key Requirements:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's or Ph.D. in a relevant discipline is highly desirable.

2. Proven experience as a Data Scientist, with 7 to 8 years of hands-on experience in the aviation industry or a related field.

3. Expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques.

4. Proficiency in programming languages such as Python, R, or Java, along with experience in using data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn).

5. Strong knowledge of SQL and experience in working with databases and big data platforms (e.g., Hadoop, Spark).

6. Demonstrated experience in data preprocessing, feature engineering, and data visualization.

7. Experience with aviation-specific datasets (e.g., flight data, maintenance records, passenger data) and familiarity with aviation industry standards and regulations is highly desirable.

8. Excellent problem-solving skills and the ability to think critically and creatively to develop innovative solutions.

9. Strong communication skills, with the ability to effectively present complex technical concepts to both technical and non-technical stakeholders.

10. A self-motivated and results-oriented mindset, with the ability to work independently and handle multiple projects simultaneously.

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.

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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.