Data Scientist

Duties and Responsibilities

• Machine learning & automation
• Design, build, test and optimise predictive models that deliver automated business intelligence
• Develop sophisticated algorithms to solve complex business challenges
• Deploy and monitor ML models in production environments with proper versioning and tracking
• MLOps & model lifecycle management
• Track model performance, detect drift and manage model retraining workflows
• Containerise ML applications and manage model versioning across environments
• Partner with cross‑functional stakeholders to identify, scope and solve critical business problems
• Create automated reporting systems and interactive dashboards that empower data‑driven decision making
• Monitor platform performance and establish key performance metrics
• Analyse diverse data sources including custom analytics, paywall metrics, and web analytics to uncover actionable business insights
• Conduct deep‑dive user behaviour analysis to enhance UX and drive engagement
• Build and maintain robust data pipelines for ingesting, processing and transforming large datasets
• Ensure data quality and implement validation checks across data workflows
• Design efficient ETL / ELT processes to support analytics and ML initiatives

Education & Experience

Honors degree (minimum) in Data Science, Mathematics, Statistics, Engineering or related field3+ years of hands‑on Python development experienceProven experience with big data technologies and cloud platforms

Technical Expertise

Data engineering skills

Strong SQL proficiency and database design principlesExperience with data warehousing concepts and dimensional modellingMore details available in the full description

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