Data Scientist

Avensys Consulting Pte Ltd; Singapore; On-site; SGD 130,000 - 170,000; Full time

Job summary

Avensys Consulting Pte Ltd is seeking a data scientist with 3-5 years of hands-on experience in data science, advanced analytics and model validation. The role emphasizes translating business requirements into analytical specifications, building predictive and fraud-detection models, and working with large, complex data sources.

The ideal candidate will have strong Python/SQL skills, experience with cloud data platforms such as AWS Redshift and Glue, and familiarity with model monitoring, CI/CD,

Qualifications

• Education: Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.
• Experience: 3-5 years of hands-on experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics.

Responsibilities

• Develop, validate or enhance predictive, risk-scoring, fraud-detection or anomaly-detection models with feature development and back-testing.
• Translate business, policy or operational requirements into analytical specifications and measurable risk hypotheses.
• Work with large-scale datasets, assess data quality, document analytical assumptions and trace data lineage.
• Design or implement production model-monitoring approaches including data drift and alert thresholds.

Education

Degree in Data Science or related quantitative discipline

Tools

Python

SQL

Tableau

Spark/PySpark

AWS Redshift

AWS Glue

CI/CD

MLOps

Job description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire highly skilled Data Scientist. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Requirements & Qualifications

A. Educational Qualification & Experience

• Education: Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.
• 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.

Preferred (Advantageous)

• Experience handling the technical challenges to fraud or risk modelling, including imbalanced data and delayed, incomplete or evolving outcome labels.
• Experience designing or implementing production model-monitoring approaches, including data drift, concept drift and alert thresholds.
• Experience building analytical dashboards using Tableau or an equivalent platform.
• Experience with CI/CD, MLOps controls or the operational deployment of analytical models.
• Experience with Spark or PySpark and enterprise data platforms, particularly AWS Redshift and AWS Glue.
• Experience with network or graph analytics to identify related entities or coordinated patterns.
• Experience working with workforce, training, grants, claims or regulatory datasets.
• Prior experience in Singapore public-sector engagements or familiarity with government data-classification requirements