Data Scientist

- 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 semi-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 We’re Looking For

- Bachelor’s in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field

- Postgraduate (Master’s) 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, scikit-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

For more information please call us on 0100300127

NB: Should you not hear from us within 6 weeks, please consider your application unsuccessful.