Data Scientist - Growth - Fintech Madrid Office - Hybrid: 4 days in the office, 1 day working from home Join Our Data Team at Ebury Madrid Office.
Ebury is seeking a Data Scientist to join our Analytics team. You will collaborate with business stakeholders to gather requirements and deliver data-driven insights that drive growth across multiple verticals. Ebury's strategic growth plan relies heavily on the contributions of our Data Science team, and we are looking for enthusiastic, proactive, and curious Data Scientists who are eager to thrive in a dynamic and challenging environment.
Responsibilities: 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. Collaborate with Data Engineers and Sales Analysts to integrate models into sales enablement platforms, ensuring the delivery of actionable insights to sales teams and stakeholders. Analyse and optimise sales data to identify patterns, trends, and opportunities that enhance lead scoring and sales strategies, contributing to overall business growth. Support the adoption of advanced analytics tools within the sales team, providing guidance on model outputs, while working closely with senior data scientists for continuous improvement and learning. Experience and qualifications: Proficiency in Python and experience with machine learning libraries. Solid understanding of statistical methods and econometric models, with the ability to interpret model results and 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 in collaborating with cross-functional teams, including Data Engineers, Sales Analysts, and business stakeholders, to ensure models align with business objectives. Problem-solving mindset with the ability to identify data-driven solutions to sales and growth challenges, helping optimize sales strategies and decision-making processes. Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills. Would be nice to have: 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 structured and unstructured data sources.
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