Principal Data Scientist

1 week ago

Singapore ST Engineering Full time

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ST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported a revenue of over $11 billion in 2024 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index.

About Commercial Aerospace business

ST Engineering's Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.

About the role

Work Location: 600 West Camp Road

We are seeking a data science specialist to support both our Aerospace OEM and MRO operations. You will apply analytics and machine learning to optimize product performance, manufacturing quality, and aircraft maintenance efficiency. This role bridges engineering, operations, and digital transformation.

Job Description

  • Analyse manufacturing, engineering, and maintenance data to uncover insights and improve reliability
  • Develop predictive models for failure forecasting, quality, and inventory planning
  • Collaborate across engineering, supply chain, and MRO teams to embed data-driven decision-making
  • Build dashboards and tools to monitor KPIs and fleet performance
  • Support digital initiatives like predictive maintenance, digital twins, and condition monitoring
  • Any other job related duties/ projects, if required

Job Requirement

  • 2–5 years' experience in data science, ideally in aerospace or manufacturing
  • Proficiency in Python, SQL, and data visualization tools (e.g. Tableau)
  • Familiarity with aerospace systems (e.g., PLM, MES, MRO platforms) and clous platforms (e.g., AWS) are advantageous
  • Possesses strong problem-solving and communication skills
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology and Engineering
  • Industries Aviation and Aerospace Component Manufacturing and Engineering Services

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