Overview
This Data Engineering Internship at Thales AIR Lab in Singapore offers hands-on experience in aviation innovation and research. You will work with a team of engineers and data scientists to manage, analyse, and transform large aviation datasets, while exploring potential applications of AI, machine learning (ML), and natural language processing (NLP) to improve aviation safety, efficiency, and insights. This role provides exposure to the full data lifecycle, from ETL processes to reporting and predictive modelling.
What You'll Get Out of This Internship
- Gain practical experience in data engineering and big data technologies like Spark, Kafka, and Iceberg
- Work on real aviation datasets, performing ETL, data cleansing, and exploratory data analysis
- Exposure to AI/ML and NLP applications for predictive analytics and optimisation
- Learn from experienced mentors and collaborate with multidisciplinary teams
- Enhance skills in programming (Python, R, SQL, Java) and data visualisation tools
Key Responsibilities
- Understand and work with existing data infrastructure and aviation data feeds
- Develop ETL processes to clean, transform, and integrate aviation datasets
- Perform exploratory data analysis to uncover trends and domain inefficiencies
- Collaborate on AI/ML and NLP projects for predictive modelling and anomaly detection
- Document workflows, methodologies, and insights for stakeholders
- Prepare presentations and reports summarising analysis results
- Participate in team discussions, provide feedback, and implement process improvements
- Continuously update technical knowledge through training and workshops
Requirements
- Enrolled in or recently completed a Master’s program in Computer Science, Data Science, Engineering, or related fields
- Strong analytical and problem-solving skills with attention to detail
- Proficient in Python, R, SQL, or Java; experience with data libraries (e.g., Pandas, NumPy) preferred
- Understanding of relational and NoSQL databases, ETL, and data transformation processes
- Familiarity with big data frameworks and data visualisation tools is a plus
- Interest in aviation or previous aviation-related projects beneficial
- Team-oriented, proactive, and adaptable in a fast-paced environment
Who This Internship Is Ideal For
Students passionate about aviation and data-driven innovation who want to gain hands-on experience applying AI/ML techniques to solve real-world aerospace challenges.
About the Company
Thales is a global technology leader driving innovation across aerospace, cybersecurity, digital identity, and defence. In Singapore since 1973, Thales delivers cutting-edge solutions that help governments and enterprises make critical decisions while ensuring safety, security, and progress.
Internship Details
Location: Singapore
Duration: Not specified by employer
Commitment: Not specified by employer
Working Arrangement (Onsite/Hybrid/Remote): Hybrid
Stipend: Not specified by employer
Application Deadline: Rolling basis