Senior Data Scientist / Machine Learning Engineer

St Engineering; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive remuneration

Comprehensive benefits

Job summary

ST Engineering in Singapore seeks a Senior Data Scientist / Machine Learning Engineer to drive analytics, build and deploy ML models, and collaborate with cross-functional teams. The role emphasizes data wrangling, visualization, and production-ready pipelines using Python, SQL, and DL frameworks.

You will work on large datasets, contribute to AI solutions, and engage with multiple ST Engineering sites in Singapore, including Changi, Tengah, and Paya Lebar.

Qualifications

• At least three years of implementation and deployment experience in ML and statistical analysis on large datasets.
• Ability to translate business questions into analytical problems using Python, R, SQL, and visualization tools.
• Experience with deep learning frameworks (TensorFlow or PyTorch) and agile development practices.

Responsibilities

• Data analysis and insights: perform exploratory data analysis, generate insights, and present findings to stakeholders.
• Develop and deploy machine learning models: design, build, and optimize ML models and algorithms to solve business problems.
• Model training and evaluation: train and fine-tune models and evaluate performance with cross-validation and hyperparameters.
• Model deployment and integration: collaborate with engineers to deploy models into production and expose via APIs.
• Performance monitoring and maintenance: monitor model performance and iterate to improve accuracy and efficiency.

Skills

Data Wrangling

Data Visualization

Python

SQL

TensorFlow

PyTorch

Machine Learning

Tools

Kubernetes

Docker/Podman

Power BI

MS Access

SharePoint

DBMS

Job description

Senior Data Scientist / Machine Learning Engineer Language Sign in/View Profile Employee Login

• CAREERS HOME
• LIFE @ ST ENGINEERING
• PRIVACY POLICY
• CONTACT US

Job Alerts Link Job Description Job Title: Senior Data Scientist / Machine Learning Engineer Req ID: 22393 Job Location Region: North Job Description:

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

Be Part of Our Success

• Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.
• Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.

Qualities We Value

• Shall have at least three (3) years of implementation and deployment experience in machine learning and statistical data analysis on large datasets.
• Shall have experience in translating business questions into analytical problems and using statistical techniques to derive actional insights using statistical software (Python, R, SAS), database languages (SQL), visualization tools (Qlik Sense), and deep learning framework (TensorFlow, PyTorch).
• Shall have the following skillsets: Data Wrangling, Data Visualization, DBMS, SQL, Python
• Preferably have completed at least one (1) project using Scrum or equivalent Agile development framework.
• Experience in these products/tools would be advantageous: MS Access (Front-end), SharePoint (Back-end), Power BI (Visualisation), Kubernetes, Docker/Podman, Microservices Architecture, DevSecOps Methodology

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architecture.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Work location - based at eitherChangi , Tengah, Paya Lebar

©2026 Singapore Technologies Engineering Ltd