Senior Data Scientist

• Own the end-to-end data science lifecycle — from framing the problem and wrangling data to building, deploying, and optimising models.
• Build predictive modelling, machine learning, and automation solutions that solve high-value business problems.
• Collaborate with business leaders to identify opportunities where advanced analytics can deliver a competitive edge.
• Engineer clean, reliable datasets from large-scale structured and unstructured data sources.
• Create clear, impactful visualisations and translate complex findings into actionable insights for technical and non-technical audiences.
• Continuously refine and monitor models to ensure lasting performance and relevance.

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

• Cloud skills (Azure, AWS), big data tools (Spark), and streaming technologies.
• Expertise in visualisation tools like Power BI, Tableau, or Kibana.
• Data science/analytics certifications.

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

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