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Data Scientist (AI & Machine Learning)

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Onsite

Data Scientist (AI & Machine Learning)

RAPSYS TECHNOLOGIES PTE LTD

Data Scientist (AI & Machine Learning)

Skills

SQL QueriesTableauPythonData ScienceData VisualizationNumPypandasPyTorchTensorFlowSnowflakeDatabricksData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingApache AirflowPower BI

3 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

7 August 2026

What they need


🌟 We're Hiring: Data Scientist (AI & Machine Learning)! 🌟

We are seeking an experienced Data Scientist with a strong background in AI and machine learning to join our dynamic team. The ideal candidate will possess excellent analytical skills, a passion for data-driven solutions, and the ability to translate complex data into actionable insights.

📍 Location: Singapore, Singapore

⏰ Work Mode: Work from Office

💼 Role: Data Scientist (AI & Machine Learning)

Key Responsibilities

  • Lead the end-to-end lifecycle of AI and Machine Learning projects, from business problem definition to model deployment and monitoring.
  • Develop ML, AI, and optimisation models for forecasting, resource optimisation, reliability improvement, and operational efficiency.
  • Collaborate with Data Engineers and Software Engineers to deploy AI/ML models in cloud and air-gapped production environments.
  • Drive experimentation using AI techniques such as time-series forecasting, anomaly detection, Computer Vision, and Natural Language Processing (NLP).
  • Present data-driven insights and recommendations to business stakeholders.
  • Partner with Business Analysts and users to identify and evaluate high-impact AI use cases.
  • Manage AI projects and maintain AI infrastructure.

Requirements

  • Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Data Analytics, Applied Mathematics, or a related field.
  • Minimum 8 years of Data Science experience, including 2+ years in a lead or senior technical role.
  • Strong proficiency in Python, SQL, Apache NiFi, Apache Airflow , and ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch .
  • Experience with Databricks, Snowflake, AWS SageMaker , and MLOps practices.
  • Hands-on experience with Power BI, Qlik, or Tableau for data visualisation.
  • Strong analytical, problem-solving, and stakeholder communication skills.

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