Data Scientist

Our client, one of Asia-Pacific’s leading organizations is looking for:

Data Scientist

Responsibilities:

• Analyse large operational datasets to identify patterns, anomalies, outliers and risk indicators.
• Develop approaches for anomaly detection, clustering, segmentation and risk scoring.
• Build supervised machine-learning models where historical outcomes or labelled cases are available.
• Perform feature engineering using structured and unstructured data.• Design evaluation approaches to assess model performance, including precision, recall, false positives and false negatives.
• Work with domain experts to determine how analytical outputs should be incorporated into operational workflows.
• Build and maintain data-processing and feature pipelines to support modelling at scale.
• Develop production-ready model or scoring pipelines and integrate them with applications built by the forward-deployed teams.
• Monitor model performance, data quality and data drift after deployment.
• Conduct exploratory analysis to identify new opportunities for workflow redesign and automation.
• Support the use of LLMs and other AI techniques alongside traditional statistical and machine-learning approaches where appropriate.
• Develop reusable analytical approaches and components that can be applied across multiple agency engagements.

Requirements:

• Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics or Information Systems preferred.
• Experience working with large, messy operational or transactional datasets.
• Experience in applied data science, including statistics, feature engineering, machine learning and model evaluation.
• Experience with techniques such as anomaly detection, classification, clustering or risk modelling.
• Experience building data pipelines and taking models beyond experimentation into production environments.
• Strong proficiency in Python and SQL.
• Able to translate a business or operational problem into an analytical problem and determine the appropriate modelling approach.
• Familiarity with software engineering practices including Git, automated testing and APIs.
• Comfortable assessing model trade-offs and explaining them clearly to nontechnical stakeholders.

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Data Scientist"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Chauhan, Asmita
EA Personnel Registration Number: R1980706

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Skills

Machine Learning, Ai, Git, DevOps, Data Pipeline, Pipeline Development, Artificial Intelligence, Software Engineering, Model Evaluation, Data Quality Assurance, Data Mining, SQL, LLMs, Python, Anomaly Detection, Data Science, Analytical Modelling, API, SQL Development, Operational Workflow