Data Scientist

Requirements:Proven experience (3+ years) in data science or advanced analytics rolesStrong programming skills in languages such as Python (preferred) or RProficiency in using data visualisation tools to communicate findingsExperience with machine learning techniques and statistical modellingExperience working with large, complex datasetsAbility to explain complex technical concepts to non-technical audiencesUnderstanding of data ethics, privacy, and governance principlesExperience working in cross-functional teams and collaborative environmentsExperience of applying version control in GitHub and of collaborating with others on codebasesStrong problem-solving and critical thinking skillsWritten and verbal proficiency in English is requiredNice to have:Experience in a commercial, or education technology environmentFamiliarity with cloud platforms such as AWS, Azure, or GCPExperience with modern data engineering tools and frameworksKnowledge of Agile methodologies and product development lifecyclesPublications, conference presentations, or contributions to the data science communityExperience of working with ML or AI EngineersResposibilitesDevelop and deploy advanced machine learning models and statistical analyses to solve complex business challengesCollaborate with data engineers to build scalable data pipelines for modelling and reportingTranslate business requirements into data science problems with defined success metricsPrepare, clean, and manipulate large datasets for analysis and modellingCommunicate results and recommendations clearly to diverse stakeholders, including non-technical audiencesWork with product teams to integrate data science solutions into operational workflowsOffer:Constant support of dedicated consultantEmployee referral programpaid time off