Data Scientist
First seen by Alion on Oct 28, 2026.
Data Scientist
Work location- Paya Lebar
The Data Scientist is embedded within the Data Science and AI Division (DSAD), working
as part of the Fraud Analytics Models (FAM) team. The role will support the maintenance
and expansion of FAM 2.0, which detects misuse of public training grant.
This includes addressing the methodology and threshold review backlog; building and
operationalising the FAM 2.0 Technical Dashboard; and assessing how new schemes can
be progressively brought within FAM 2.0's fraud-risk coverage.
Experience: 3–5 years of hands-on experience in data science, advanced analytics,
model validation, fraud/risk analytics or programme analytics.
B. Technical & Professional Competencies
• Strong hands-on proficiency in Python and SQL for data extraction,
transformation, exploratory analysis, with experience building reproducible
analytical workflows.
• Hands-on experience developing, validating or enhancing predictive, risk-scoring,
fraud-detection or anomaly-detection models, including feature development,
back-testing, threshold calibration and performance evaluation using measures
such as precision, recall and related trade-offs.
• Experience translating business, policy or operational requirements into
analytical specifications, model logic, indicators, rules or measurable risk
hypotheses.
• Experience working with complex, large-scale datasets, including assessing data
quality, tracing data lineage, investigating anomalies and documenting analytical
assumptions.
Skills
Feasibility Studies, Operational Requirements, Fraud Detection, Requirement Reviews, monitor grants, Home working, Workflow Analysis, SQL Programming, Predictive Analytics, Maintenance Support, Fraud Analytics, Reproducibility, Calibration Management, Fraud Risk Management, Business Requirements, Accuracy and Precision