ppData Scientist – Growth /ppEbury helps ambitious businesses unlock global growth and we take the same approach with our people. We encourage innovation, movement, collaboration, and problem‑solving, and foster an environment where everyone can feel they belong, are valued, supported, and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, we want to discuss how Ebury can accelerate your career so you can shape the future. /ppbLocation: /b Madrid (Hybrid 4 days office / 1 day WFH) /ppbStack: /b Python, SQL, GCP (BigQuery, AI Platform, Cloud Functions), ML Libraries, CRM (Salesforce), LLMs. /ph3Why This Role Exists /h3pEbury 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. /ppToday, 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 optimised decisions every day. /ph3What You’ll Own /h3h3Growth Modelling Predictive Analytics /h3ulliDrive innovation in Growth modelling by identifying opportunities for improvement, experimenting with new methodologies, and continuously refining models to enhance accuracy and performance. /liliDevelop 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. /liliAnalyse and optimise sales data to identify patterns, trends, and opportunities that enhance lead scoring and sales strategies, contributing to overall business growth. /li /ulh3Cross‑Functional Integration Tool Adoption /h3ulliCollaborate 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. /liliSupport 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. /li /ulh3What You Bring /h3h3Must-Have /h3ulli2+ years of experience in Data Science or related roles. /liliProficiency in Python and extensive experience with machine learning libraries. /liliSolid understanding of statistical methods and machine learning models with the clear ability to interpret model results and rigorously assess their performance. /liliExcellent 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. /liliExperience collaborating with cross‑functional teams (including Data Engineers, Sales Analysts, and business stakeholders) to ensure models align perfectly with business objectives.



/liliA problem‑solving mindset with the ability to identify data‑driven solutions to complex sales and growth challenges, helping optimise sales strategies and decision‑making processes. /liliSelf‑motivation and curiosity with a strong desire to learn and grow in a fast‑paced environment, continuously improving both technical and business skills. /li /ulh3Highly Valued /h3ulliExperience with GCP (Google Cloud Platform) tools and services such as BigQuery, AI Platform, and Cloud Functions for deploying scalable data solutions. /liliExperience with A/B testing or experimentation frameworks is a plus, particularly for optimising sales strategies based on model performance. /liliKnowledge 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). /liliExpertise in leveraging Large Language Models (LLMs) for processing unstructured data such as text analysis and sentiment analysis to enhance risk assessment and decision‑making. /liliProficiency in SQL for querying and managing large datasets as well as experience working with both structured and unstructured data sources. /liliPrevious hands‑on experience building lead scoring models, Customer Lifetime Value (CLV) models, and churn models. /li /ulh3What We Offer /h3ulliCompetitive Salary + Performance‑based discretionary bonus. /liliOther Benefits: Private health insurance, adaptable remuneration, and a day off on your birthday. /liliCareer Progression: A well‑structured career path with clear opportunities for growth. /liliVibrant Culture: Join a collaborative environment in our Madrid office where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one. /liliContinuous Learning: Personal development through certifications and specialised training. /li /ul /p #J-18808-Ljbffr

📌 Data Scientist (Madrid)
🏢 Ebury
📍 Madrid