









The Equity Continental Sales Data Scientist Intern plays a key role in transforming data into strategic insights that drive sales growth and performance optimization. By leveraging advanced data analytics including artificial intelligence (AI), and machine learning (ML), the intern supports the sales team with data-driven recommendations and predictive models that anticipate market behavior and client needs.Working collaboratively across teams, such as Equity Product team and Quant Team and locations at Euronext, the ideal candidate will possess strong analytical, technical, and communication skills, with proficiency in Python, SQL, Dataiku, Excel, Power BI, CRM platforms, and other business intelligence tools.Key ResponsibilitiesData Extraction, Analysis, and Modeling:Collect, process, and analyze large and complex trading and client datasets using Python, Dataiku, and SQL.Apply machine learning techniques to detect client behavioral patterns, segment clients, and predict sales trends, particularly in the retail segment.Data Visualization and Reporting:Design intuitive Power BI dashboards and automated reports to monitor key performance indicators (KPIs), visualize insights, and communicate findings effectively to stakeholders.CRM Optimization through AI:Integrate AI-driven analytics into CRM systems to improve customer segmentation, lead scoring, and sales pipeline management.Market Intelligence:Conduct market and sentiment analysis to identify emerging opportunities, competitive shifts, and macro trends impacting equity sales strategies.Predictive and Prescriptive Analytics:Develop and deploy models to forecast sales performance, identify high-potential clients, and recommend data-driven actions that enhance commercial effectiveness.Collaboration and Process Improvement:Work closely with the sales and strategy teams to streamline workflows, enhance performance tracking, and translate analytical insights into actionable business outcomes.