Location: Singapore, Singapore

Thales people architect solutions that support 85 million mainline and suburban passenger journeys, worldwide, every day. Our Rail Signalling and Communication systems are used on metro lines across major cities, and 72,000 kms of route, 52,000 trains per day in 16 countries are controlled by our Traffic Management Systems. Together We deployed the first-ever nationwide ticketing system which processes over 50 million ticketing transactions in 100 cities daily.

Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.

  • As Ground Transportation Systems (GTS), we are advancing rail signalling and safety solutions to ensure safe and efficient railway operations worldwide.
  • Our technologies help to bring billions of people reliably to their destinations by rail every year - making sustainable mobility a reality.
  • Machine Learning Intern (Ref.No. R1004783)
  • at our location in Singapore
  • You will enjoy having this responsibility:

  • Consulting with managers to determine and refine machine learning objectives.
  • Working with the Software team and Product Owner for Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Ensuring that algorithms generate accurate user recommendations.
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Running tests, performing statistical analysis, and interpreting test results.
  • You have:

  • Study computer science, data science, mathematics, or a related field.

  • Knowledge in computational linguistics, data analytics, or similar will be advantageous.
  • Proficiency with Python, Java, or R code writing.
  • Knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • Knowledge of mathematics, statistics, and algorithms.
  • Analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Good in time management and organizational abilities.
  • Our Talent Acquisition Team is looking forward to hearing from you
  • For further information about Thales and GTS as an employer visit us on
  • About us
  • Our motivation is the mobility turnaround. To achieve this, our teams find innovative products and solutions that ensure the operation and reliability of the entire rail network and increase capacities on the rails.
  • Our projects are diverse. To make our teams even stronger, we are looking for your support. In return, we offer you an attractive overall package with the following benefits:

  • Stronger together: Networking through internal networks and working in international teams

  • Our drive: Together, we are laying the foundations for the digitization of the rail around the world, to get people safely to their destinations and to their loved ones!
  • Attractive conditions: A secure and permanent job with a global company
  • Notes
  • Equal opportunities and self-determined participation of severely disabled persons and persons of equal status as well as respectful cooperation are firmly anchored principles within the Thales Group and its subsidiaries. We also aim to offer all our equal opportunities to start a career and to receive training and further education in our company. We consciously promote diversity and togetherness in our teams.