Data Science & AI Engineer (1 Year Contract)

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

Summary

Thales Avionics (AVS) in Singapore consists of manufacturing and repair activities for aircraft OEMs and airlines respectively.

This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation. You will oversee the end-to-end project lifecycle, from requirements gathering and data analysis to model development, deployment, and performance monitoring.

This role demands a blend of project management expertise, technical proficiency in data science and analytics, and a deep understanding of industrial operations. The individual will act as an initiator and influencer, driving stakeholders to synchronize and connect to make Thales AVS more sustainable and competitive through innovation and collaboration to achieve industrial excellence.

Responsibilities

• Work closely with data scientists to understand their needs and provide the necessary data.
• Collaborate with domain stakeholders to translate business problems into clear analytical, AI modeling, or ML solutions and define measurable metrics.
• Design, build, and maintain scalable and reliable data pipelines, software, and interfaces with various data sources.
• Manage the entire solution cycle: discovery $\rightarrow$ feature engineering $\rightarrow$ Modelling/experimentation/POC/Pilot $\rightarrow$ deployment $\rightarrow$ Monitoring $\rightarrow$ proposing next steps.
• Act as a technical bridge, collaborating closely with cross-functional teams to ensure project alignment and smooth execution.
• Collect and process data in a suitable format to support diverse analytical requirements.
• Oversee data gathering, cleaning, and preprocessing, guaranteeing data quality and readiness for analysis. Work closely with data engineers and experts to acquire data from industrial sources, including test benches, IoT devices, sensors, and SCADA systems.
• Perform and integrate data quality checks to identify and correct errors or discrepancies.
• Lead exploratory data analysis and machine learning model development to uncover insights, trends, and optimization opportunities.
• Design models tailored to specific project goals, continually iterating to ensure optimal performance and alignment with business value objectives.
• Create and maintain comprehensive documentation related to data flows, model transformations applied, and validation procedures.
• Establish and monitor performance metrics to track the success and ROI of deployed tools and models, ensuring solutions are reliable, scalable, and adhere to best practices.
• Dashboard Development: Design and implement interactive dashboards using PowerBI or similar web frameworks, ensuring intuitive visualization of complex datasets for business and technical stakeholders.
• Data for Digital Twin & Simulation: Build and maintain data input for digital twin environments by modeling processes, simulating outcomes, and integrating live data streams through JSON, XML, and APIs.
• AI/Chatbot Solutions: Develop and support intelligent chatbot systems leveraging Retrieval-Augmented Generation (RAG) and related AI technologies to improve knowledge accessibility and user interactions.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Proficiency in Python (or similar languages), SQL, and experience with big data technologies such as Hadoop or Spark.
• Hands-on experience with SQL and NoSQL data stores, such as PostgreSQL.
• Strong analytical skills and proven ability to work effectively with large datasets.
• Dashboarding and Web Technologies: Hands-on experience with PowerBI, Flask (or similar frameworks), building interactive dashboards, and integrating visualization tools.
• Data for Digital Twin Simulation: Experience in modeling, simulating, and ingesting data through JSON, XML, and APIs for real-time or near-real-time systems.
• Chatbot and AI-Powered Solutions: Familiarity with Retrieval-Augmented Generation (RAG) and other chatbot frameworks for knowledge-based interaction systems.

Other Information

• Work Location: Changi North Rise
• Working Days: Monday - Friday
• Company transport is provided from designated MRT stations.
• Employment Type: 1 Year Contract, with the possibility of renewal or extension based on business requirements.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.