Senior Data Scientist - Machine Learning

• Develop and deploy predictive modelling and machine learning solutions.
• Collaborate with stakeholders to define business challenges and identify analytical opportunities.
• Conduct data cleaning, transformation, feature engineering, and rigorous hypothesis testing.
• Work with engineering teams to build data pipelines and access large-scale structured and unstructured data.
• Translate data science solutions into practical business applications.
• Create impactful visualisations and reports to communicate insights to both technical and non-technical stakeholders.
• Monitor and refine models to ensure performance and business relevance over time.

• Honours, Master’s, or PhD in a quantitative discipline (e.g. Actuarial Science, Mathematics, Computer Science, Engineering, Statistics).
• 5–6 years of hands-on experience in data science and analytics roles.
• Strong Python and SQL proficiency, including libraries such as NumPy, Pandas, SciPy, Matplotlib.
• Experience working with Jupyter Notebooks and in Agile development environments.
• Proven ability to operationalise machine learning models at scale.

• Familiarity with cloud platforms (e.g. Azure, AWS), Spark, and big data tools.
• Professional certifications in data science and analytics technologies.
• Experience with data visualisation tools such as Power BI, Tableau, or Kibana.

• Advanced analytical and problem-solving skills.
• Strong communication skills, with the ability to explain technical concepts to diverse audiences.
• Business acumen and the ability to align data solutions with strategic objectives.
• Initiative, adaptability, and a strong sense of accountability.
• Ability to work independently as well as collaboratively within cross-functional teams.

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