jobs in Pacific International Lines (Pte) Ltd

Pacific International Lines (Pte) Ltd Hiring! Full Time Data Analyst in - Ricebowl

Data Analyst

Pacific International Lines (Pte) Ltd

Undisclosed

Singapore

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Working Location

  • Singapore Singapore

Job Description

Responsibilities

Job Responsibilities

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.

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