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 non-technical stakeholders.
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Interested applicants can also email CV at jagveer@nsearchglobal.com (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: Jagveer Singh Arora
EA Personnel Registration Number: R22109615
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