Senior Data Scientist

• Lead the end-to-end data science lifecycle—from defining business problems to deploying and optimising models.
• Build advanced predictive modelling, machine learning, and automation solutions to solve high-value challenges.
• Partner with business leaders to uncover opportunities where analytics can create a competitive edge.
• Engineer clean, high-quality datasets from large-scale structured and unstructured data sources.
• Create impactful visualisations and communicate complex results to both technical and non-technical audiences.
• Monitor, refine, and maintain models to ensure lasting performance and business relevance.

• Honours, Master’s, or PhD in a quantitative field (Actuarial Science, Mathematics, Computer Science, Engineering, or Statistics).
• 5–6+ years of proven experience in data science and analytics.
• Strong skills in Python (NumPy, Pandas, SciPy, Matplotlib) and SQL.
• Experience deploying and operationalising machine learning models at scale.
• Agile working experience and proficiency with Jupyter Notebooks.

• Cloud expertise (Azure or AWS), big data tools (Spark), and streaming technologies.
• Visualisation tools such as Power BI, Tableau, or Kibana.
• Professional data science or analytics certifications.

• A creative problem-solver who thrives on complexity.
• A confident communicator able to bridge the gap between data and business strategy.
• Business-savvy, adaptable, and committed to delivering measurable impact.

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