Data Scientist

<div class="content-intro"><p>Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.</p> <p>If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.</p></div><p><strong>Data Scientist - Growth</strong></p> <p><strong>Location:</strong> Madrid (Hybrid: 4 days office / 1 day WFH)</p> <p><strong>Stack:</strong> Python, SQL, GCP (BigQuery, AI Platform, Cloud Functions), ML Libraries, CRM (Salesforce), LLMs.</p> <h3><strong>Why This Role Exists </strong></h3> <p>Ebury is executing an ambitious strategic growth plan across multiple business verticals. To power this expansion, we need to bridge the gap between advanced data science and real-world sales execution. This role exists to drive innovation in Growth modelling and deliver the actionable, data-driven insights that fuel our global sales engine.</p> <p>Today, optimizing sales performance requires continuous experimentation and refining how we identify commercial opportunities. Tomorrow, we want to scale and seamlessly integrate our predictive models—such as Lead Scoring, conversion, and profitability models—directly into our sales enablement platforms so our teams can make faster, smarter, and highly optimized decisions every day.</p> <h3><strong>What You'll Own 📌</strong></h3> <h4><strong>Growth Modelling & Predictive Analytics</strong></h4> <ul> <li><strong>Drive innovation in Growth modelling</strong> by identifying opportunities for improvement, experimenting with new methodologies, and continuously refining models to enhance accuracy and performance.</li> <li><strong>Develop and refine models for sales enablement and growth</strong>, using Python to drive better sales performance and decision-making. These models include, but are not limited to: Lead Scoring models, conversion models, profitability models, etc.</li> <li><strong>Analyse and optimise sales data</strong> to identify patterns, trends, and opportunities that enhance lead scoring and sales strategies, contributing to overall business growth.</li> </ul> <h4><strong>Cross-Functional Integration & Tool Adoption</strong></h4> <ul> <li><strong>Collaborate with Data Engineers and Sales Analysts</strong> to integrate models into sales enablement platforms, ensuring the delivery of actionable insights to sales teams