Data Scientist

Responsibilities

• 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.

Requirements

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

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.
• Knowledge of Agile methodologies and product development lifecycles.
• Publications, conference presentations, or contributions to the data science community.
• Experience working with ML or AI Engineers.

Offer

• Constant support of a dedicated consultant.
• Employee referral program.