Data Scientist

What Youll Drive - Design, develop, and maintain statistical, machine learning, and predictive models across regression, classification, clustering, time series, and anomaly detection - Translate business challenges into analytical frameworks with measurable outcomes - Perform feature engineering, model selection, and hyperparameter optimisation - Extract, clean, and transform structured and semiâ??structured data from multiple sources - Conduct exploratory data analysis (EDA) toidentify trends, patterns, and anomalies - Assess data quality and work with data engineering teams to resolve data issues - Package and deploy models into production environments (batch or realtime) - Monitor model performance, drift, and stability over time - Maintain model documentation, versioning, and retraining strategies - Partner with stakeholders to understand requirements and deliver insights - Communicate findings, assumptions, limitations, and recommendations clearly

What Were Looking For - Bachelors in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field - Postgraduate (Masters) advantageous Certifications in data science, machine learning, or cloud platforms beneficial - Certifications such as CAP, Google Data Analytics, or Microsoft Data Analyst Associate are advantageous - Python proficiency (pandas, NumPy, scikitâ??learn, statsmodels) - SQL for extraction and analysis - Experience with large datasets and data warehouses - Strong understanding of machine learning and statistical modelling - Knowledge of evaluation metrics and validation techniques - Experience with data visualisation tools like Power BI, Tableau, matplotlib, seaborn - Understanding of statistics, feature engineering, model interpretability, bias/variance - Cloud platforms: Azure or AWS

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