AI/ML Data Scientist - Scalable Analytics & AI

Pacific International Lines; Singapore; On-site; SGD 75,000 - 100,000; Full time

Job summary

Pacific International Lines in Singapore seeks an AI/ML expert to drive data-driven decisions across teams. This role involves leading experiments, developing advanced models, and effectively communicating insights. The ideal candidate will collaborate with business teams and operationalize AI/ML solutions into production systems.

Applicants should have a Bachelor’s Degree in a relevant field and 3–5+ years of experience in building scalable AI/ML solutions. Experience with tools like Databricks and a cloud environment is essential.

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Qualifications

• 3–5+ years of relevant experience; exposure to Agentic AI is a plus.
• Proven ability to build production-grade ML APIs/services.
• Demonstrated success in deploying ML/AI use cases at scale.

Responsibilities

• Drive data-driven decisions across commercial, operational, and financial domains.
• Collaborate with business teams to frame problems and recommend scalable AI/ML solutions.
• Build and validate AI/ML solutions in specialized areas like forecasting and anomaly detection.

Skills

Python (Pytorch, Tensorflow)

Databricks

Machine Learning (ML)

Data Science

Statistics

Cloud Environment (AWS, Azure, GCP)

Education

Bachelor’s Degree in Statistics, Applied Math, Economics, Data Science

Tools

Databricks

MLflow

Spark

Job description

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Job Summary: Drive data-driven decisions across commercial, operational, and financial domains by discovering insights, validating hypotheses, and building scalable AI/ML solutions. You will lead experiments, develop advanced models, and communicate results effectively to stakeholders. To succeed, you must be a problem solver, a strong communicator, and an analytical thinker who challenges boundaries.

• Collaborate with business teams to frame problems, perform root-cause analysis, and recommend scalable AI/ML solutions or design experiments/AB tests.
• Translate complex findings into clear narratives, compelling visuals, and executive-ready summaries for both technical and non-technical audiences.
• Build and validate AI/ML solutions in one or more specialized areas, such as forecasting, route optimization, computer vision, anomaly detection, and NLP (including emerging agentic AI approaches).
• Develop and deploy ML services and APIs on Azure/Databricks, implementing CI/CD, model versioning, and lineage tracking with MLflow, including performance and data drift monitoring.
• Partner with application development teams to operationalize and integrate AI/ML solutions into production systems.

Job Requirements

• Bachelor’s Degree in Statistics, Applied Math, Economics, Data Science, or related field.
• 3–5+ years of relevant experience; exposure to Agentic AI is a plus.
• Hands on experience with Databricks, Spark, MLflow, Python (Pytorch, Tensorflow); proven ability to build production-grade ML APIs/services.
• Demonstrated success in deploying ML/AI use cases at scale.
• Experience working in cloud environment such as AWS, Azure, or GCP.
• Strong interpersonal skills for collaborating with technical and non-technical teams.
• Excellent stakeholder engagement and storytelling.