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.
  

Requirements

• 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