Data Scientist

• Proven experience (3+ years) in data science or advanced analytics roles
• Strong programming skills in languages such as Python (preferred) or R
• Proficiency in using data visualisation tools such as Power BI and Tableau to communicate findings
• Experience with machine learning techniques and statistical modelling
• Experience working with large, complex datasets
• Ability to explain complex technical concepts to non-technical audiences
• Understanding of data ethics, privacy, and governance principles
• Experience working in cross-functional teams and collaborative environments
• Experience of applying version control in GitHub and of collaborating with others on codebases
• Strong problem-solving and critical thinking skills
• Written and verbal proficiency in English is required

Nice to have:

• Experience in a commercial, or education technology environment
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with modern data engineering tools and frameworks such as Spark and Databricks
• Knowledge of Agile methodologies and product development lifecycles
• Publications, conference presentations, or contributions to the data science community
• Experience of working with ML or AI Engineers

• Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges
• Collaborate with data engineers to build scalable data pipelines for modelling and reporting
• Translate business requirements into data science problems with defined success metrics
• Prepare, clean, and manipulate large datasets for analysis and modelling
• Communicate results and recommendations clearly to diverse stakeholders, including non-technical audiences
• Work with product teams to integrate data science solutions into operational workflows
• Ensure all models and analyses comply with data ethics and privacy standards
• Lead experiments to test hypotheses and improve product or service performance
• Build capability across teams by mentoring colleagues and sharing best practices
• Contribute to the data science community and represent the organisation externally where appropriate