Data Scientist

Job Specifications Minimum & Preferred Requirements

Education

Minimum 3-year tertiary degree in a STEM field: Computer Science, Engineering, Mathematics, Statistics, Data Science or a related quantitative discipline.

Honours or Master's degree in Data Science, Statistics or a related field advantageous.

Fluent in English.

Experience

2 5 years' experience in a data science / advanced analytics environment (level dependent), with practical exposure to model development, interpretation and deployment.

Demonstrated experience with classification, regression, clustering and anomaly-detection techniques Experience working with large-scale distributed data processing (Spark/Databricks) is highly advantageous. Exposure to MLOps practices and deploying models into production is beneficial.

Technical Skills

Programming & Query

Languages

Python (pandas, PySpark), SQL (Hive, Trino), Scala/R advantageousBig Data & ML Platforms Databricks

Machine Learning K-Means/clustering, XGBoost, CatBoost, LightGBM, classification, regression,

anomaly detection

MLOps & DevOps MLflow, CI/CD pipelines, Azure DevOps, model monitoring & drift detectionVisualisation &

Reporting

Power BI, Databricks

Behavioural & Core Competencies

Strategic Thinking & Problem Solving able to translate ambiguous business problems into structured analytical approaches.

Analytical & Innovative rigorous, curious, and constantly looking for better ways to model and interpret data.

Communication & Business Storytelling able to explain technical concepts and results in clear, businessfriendly language for both technical and executive audiences.

Cross-Functional Collaboration comfortable partnering with business, engineering and governance

stakeholders.

Attention to Detail & Ownership takes accountability for code quality, model accuracy and documentation. Adaptability & Resilience thrives in a fast-paced environment spanning multiple concurrent projects and priorities.

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