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 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
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
Offer:
Constant support of dedicated consultant
Employee referral program
paid time off
,[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: Python, Power BI, Tableau, Spark, Databricks, NumPy, pandas, AWS, Azure, GCP, Machine learning, Agile
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