Data Analyst

THALES SOLUTIONS ASIA PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology company in Singapore is seeking a skilled candidate to support predictive model development and scale AI/ML models across production. The ideal candidate will have a background in computer science or related fields, strong skills in Python and SQL, and a keen interest in machine learning and data engineering. Responsibilities include building reliable data pipelines and collaborating with cross-functional teams to align outputs with business needs.

Qualifications

• Bachelor’s degree in computer science, Data Science, Engineering, or related field.
• Strong foundation in Python and SQL Databases.
• Understanding of machine learning concepts.

Responsibilities

• Work closely with data scientists and engineers to understand requirements.
• Assist in scaling AI/ML models across production.
• Build and maintain data pipelines from various industrial sources.

Job description

Responsibilities

• Work closely with data scientists and engineers to understand requirements and support predictive model development.
• Assist in scaling AI/ML prediction models from pilot benches to additional test benches across production.
• Improve model usability and accuracy by collecting feedback from maintenance teams and refining data/feature inputs.
• Support ongoing work to analyze and scale OEE (Overall Equipment Effectiveness) insights across machines and test benches.
• Build and maintain basic, reliable data pipelines to collect data from various industrial sources (test benches, IoT devices, sensors, SCADA).
• Help process and prepare datasets into suitable formats for analysis and model training.
• Apply data quality checks under guidance, ensuring integrity and consistency.
• Document data flows, transformations, and learnings for reference and future scaling.
• Collaborate with cross-functional teams (IT, engineering, maintenance) to align technical outputs with business needs.

Requirements

• Bachelor’s degree in computer science, Data Science, Engineering, or computer science related field.
• Strong foundation in Python and SQL Databases; familiarity with data analysis or ML libraries (e.g., Pandas, scikit-learn).
• Understanding of basic concepts in machine learning, predictive analytics, and data engineering.
• Good problem-solving and analytical skills; curiosity to learn and apply new techniques.
• Strong communication skills and eagerness to collaborate with technical and non-technical teams.
• Desired Skills:
  • Exposure to cloud, big data, or ETL tools (academic projects or internships count).
  • Familiarity with visualization or reporting tools for KPIs.
  • Interest in aerospace/manufacturing/maintenance domains is a plus.
  • Willingness to experiment, iterate, and learn from hands-on projects.
  • Proactive in engaging with stakeholders and users to co-create meaningful improvements