Senior Data Scientist

WANTED:
Senior Data Sorcerer / Chief Insight Wizard

(Yeah, we said sorcerer. Deal with it.)

Tired of playing small with boring spreadsheets?

Ready to bend reality using code, crush business problems like cosmic piñatas, and drop mind-blowing insights that make executives actually gasp?

We’re building the future in our Data Office, and we need a legend-level Senior Data Scientist who doesn’t just analyse data… you weaponise it.

Your Responsibilities Will Include:

• Lead the development and deployment of advanced statistical, predictive and prescriptive models.
• Apply machine learning techniques to solve complex business problems and uncover growth opportunities.
• Design scalable analytical solutions aligned to strategic objectives.
• Continuously evaluate and improve model performance through validation, testing, and optimisation.
• Extract, clean, transform, and integrate large volumes of structured and unstructured data from multiple sources.
• Ensure data accuracy, integrity, and consistency across reporting and analytical processes.
• Implement best practices in data governance and documentation.
• Translate complex analytical findings into clear, actionable insights for business stakeholders.
• Develop dashboards, reports, and visualisations to support performance tracking and strategic planning.
• Identify trends, risks, and opportunities to inform business strategy.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Present findings and recommendations to senior management and executive leadership.
• Mentor and support junior data scientists and analysts, fostering a culture of innovation and continuous learning.
• Contribute to the advancement of analytics capabilities within the organisation.

• Bachelor’s Degree (Honours preferred) in Data Science, Statistics, Mathematics, Computer Science, Information Systems, or a related quantitative field.
• Minimum of 5–7 years’ experience in data science, advanced analytics, or a similar role.
• Proven track record in designing and implementing predictive models and machine learning solutions.
• Strong proficiency in SQL, Python and/or R.
• Experience working with data visualisation tools and business intelligence platforms.
• Solid understanding of statistical analysis, data mining, and model validation techniques.
• Advanced analytical thinking and problem-solving skills.
• Strong communication skills with the ability to present complex information clearly to non-technical audiences.
• High level of attention to detail and commitment to accuracy.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
• Strong stakeholder management and collaboration skills.

Ready to stop being a data scientist…

and start being a data legend?

Drop your CV