Data Scientist - Maritime ML & Predictive Analytics

Airswift; Singapore; Hybrid; SGD 70,000 - 120,000; Full time

Job summary

Airswift, a leading global maritime shipping player, seeks a Data Scientist to join its Singapore team. You will own end-to-end data science pipelines, from data extraction and preprocessing to model training, evaluation, and deployment, partnering with business and operations to translate challenges into robust models.

The role emphasizes deep learning and transformers for structured data, with a strong focus on time-series forecasting and cloud-based AutoML for rapid prototyping and production

Qualifications

• 2–3 years’ experience in Data Science at production level.
• Advanced Python (PyTorch) and SQL skills.
• Experience with Docker and DL/Transformer models.
• Familiarity with tabular data, time-series forecasting, and cloud ML.
• Hands-on exposure to AutoML frameworks is a plus.

Responsibilities

• Lead the full data science lifecycle from data prep to model deployment.
• Collaborate with business/ops to translate challenges into models.
• Apply statistics, DL, and transformers to real-world problems.
• Specialize in structured data and explore CV or multi-modal aspects as an advantage.
• Utilize cloud AutoML to accelerate prototyping and baselines.

Skills

Python

SQL

Time-series forecasting

Deep learning

Transformers

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

PyTorch

XGBoost

AutoML frameworks

Job description

Airswift, a leading global maritime shipping player, seeks a Data Scientist to join its Singapore team. You will own end-to-end data science pipelines, from data extraction and preprocessing to model training, evaluation, and deployment, partnering with business and operations to translate challenges into robust models.

The role emphasizes deep learning and transformers for structured data, with a strong focus on time-series forecasting and cloud-based AutoML for rapid prototyping and production