Working as a Data Scientist, you will:
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Develop and implement machine learning algorithms, statistical models and analytical scripts to address specific business challenges.
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Design and conduct experiments, including A/B testing, apply cross-validation techniques and perform statistical significance testing to validate findings and assess model performance.
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Support the implementation of regulatory frameworks, including the EU AI Act, by contributing to model risk management, monitoring model drift and bias, and preparing comprehensive documentation.
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Analyse business and data requirements, identify suitable data sources and design data flows for data collection, transformation and integration.
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Coordinate and improve data collection, transformation and integration processes in cooperation with IT teams, ensuring data accuracy and consistency.
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Design and implement data validation and data quality checks, including automated processes.
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Analyse data and prepare reports, dashboards, visualisations and publications to support data-driven decision-making.
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Support the development and maintenance of databases containing integrated and validated data.
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Organise and coordinate user acceptance testing (UAT) for data-related processes and tools.
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Support data providers and users by developing templates, tools and guidance documentation, as well as assisting with data validation and access-related queries.
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Contribute to the assessment and implementation of data governance policies, ensuring compliance with applicable requirements for new and existing data collections.