Data & AI Associate - Advanced Analytics & Machine Learning

• Own and manage the evolution of the commercial data warehouse and analytics ecosystem.
• Lead the development of advanced dashboards and decision-support tools using Power BI and Azure technologies.
• Translate complex business challenges into scalable data solutions that deliver measurable commercial value.
• Act as the Product Owner for the internal business analytics and AI platform, defining the roadmap for new capabilities.
• Develop and optimize Machine Learning auction prediction models to improve forecasting accuracy and commercial decision-making.
• Shape the long-term data strategy and operating plan while establishing clear governance and documentation standards.
• Collaborate with internal stakeholders and external technology partners to bring cutting-edge AI use cases into production.

• You possess a Master's degree or MBA in Data Science, Business Analytics, Artificial Intelligence, Engineering, or a related quantitative field.
• You have 1 to 3 years proven experience in data analytics, business intelligence, or machine learning, preferably within a data-intensive industry.
• You bring practical experience using Python and SQL for developing predictive models and advanced analytics solutions.
• You have a strong understanding of Machine Learning frameworks and data analysis techniques.
• You possess advanced proficiency in Microsoft Excel and reporting tools such as Power BI.
• You have a solid understanding of data governance, security, and quality management principles.
• You're able to bridge the gap between business strategy and technical implementation to maximize value from data.
• You are proactive and solution-oriented with excellent communication and presentation skills.
• You are fluent in English

Nice to Haves

• Experience within energy markets, utilities, or financial services.
• Knowledge of Azure data platform architecture, including security and integration.
• Knowledge of other languages like Dutch or French would be nice to have
• Willingness to travel occasionally between international office locations, mainly UK and Germany.