Data Scientist

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. If youre a collaborator who wants to help transform how businesses operate globally get in touch - wed love to discuss how Ebury can accelerate your career so you can shape the future. Data Scientist - Growth Location Madrid (Hybrid 4 days office / 1 day WFH) Stack Python SQL GCP (BigQuery AI Platform Cloud Functions) ML Libraries CRM (Salesforce) LLMs. Why This Role Exists 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. 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. What Youll Own Growth Modelling Predictive Analytics - Drive innovation in Growth modelling by identifying opportunities for improvement experimenting with new methodologies and continuously refining models to enhance accuracy and performance. - Develop and refine models for sales enablement and growth 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. - Analyse and optimise sales data to identify patterns trends and opportunities that enhance lead scoring and sales strategies contributing to overall business growth. Cross-Functional Integration Tool Adoption - Collaborate with Data Engineers and Sales Analysts to integrate models into sales enablement platforms ensuring the delivery of actionable insights to sales teams and business stakeholders. - Support the adoption of advanced analytics tools within the sales team providing clear guidance on model outputs while working closely with senior data scientists for continuous improvement and learning. What You Bring Must-Have - 2+ years of experience in Data Science or related roles - Proficiency in Python and extensive experience with machine learning libraries. - Solid understanding of statistical methods and machine learning models with the clear ability to interpret model results and rigorously assess their performance. - Excellent communication and collaboration skills with the ability to work closely with data engineers analysts and business stakeholders to translate complex data insights into actionable business strategies. - Experience collaborating with cross-functional teams (including Data Engineers Sales Analysts and business stakeholders) to ensure models align perfectly with business objectives. - A problem-solving mindset with the ability to identify data-driven solutions to complex sales and growth challenges helping optimize sales strategies and decision-making processes. - Self-motivation and curiosity with a strong desire to learn and grow in a fast-paced environment continuously improving both technical and business skills. Highly Valued - Experience with GCP (Google Cloud Platform) tools and services such as BigQuery AI Platform and Cloud Functions for deploying scalable data solutions. - Experience with A/B testing or experimentation frameworks is a plus particularly for optimising sales strategies based on model performance. - Knowledge of sales analytics and CRM systems understanding how data insights can improve lead quality and sales outcomes (familiarity with tools like Salesforce is a plus). - Expertise in leveraging Large Language Models (LLMs) for processing unstructured data such as text analysis and sentiment analysis to enhance risk assessment and decision-making. - Proficiency in SQL for querying and managing large datasets as well as experience working with both structured and unstructured data sources. - Previous hands-on experience building lead scoring models Customer Lifetime Value (CLV) models and churn models. What We Offer - Competitive Salary + Performance-based discretionary bonus. - Other Benefits Private health insurance flexible remuneration and a day off on your birthday. - Career Progression A well-structured career path with clear opportunities for growth. - Vibrant Culture Join a collaborative environment in our Madrid office where Data Engineers Data Scientists Analytics Engineers and Analysts work as one. - Continuous Learning Personal development through certifications and specialized training.