Ebury
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at Ebury. Skills: Growth modelling, Predictive analytics, Machine learning, Sales enablement. Drive innovation in Growth modelling. Identify opportunities for improvement”
What You'll Achieve.
Enhance accuracy and performance; Drive better sales performance; Drive better decision-making; Enhance lead scoring; Enhance sales strategies; Contribute to overall business growth; Ensure delivery of actionable insights; Make faster decisions; Make smarter decisions; Make highly optimized decisions
Industry & Context.
Problem-solving mindset; Identify data-driven solutions; Optimize sales strategies; Optimize decision-making processes
What They're Looking For.
Must Have
2+ years of experience in Data Science, Proficiency in Python, Extensive experience with machine learning libraries, Solid understanding of statistical methods, Solid understanding of machine learning models, Ability to interpret model results, Ability to assess model performance, Experience collaborating with cross-functional teams, Problem-solving mindset, Proficiency in SQL
Nice to Have
Experience with GCP tools and services, Experience with A/B testing, Experience with experimentation frameworks, Knowledge of sales analytics, Knowledge of CRM systems, Familiarity with Salesforce, Expertise in leveraging Large Language Models, Experience building lead scoring models, Experience building CLV models, Experience building churn models
What You'll Do.
Drive innovation in Growth modelling
Identify opportunities for improvement
Experiment with new methodologies
Refine models for accuracy
Refine models for performance
Develop models for sales enablement
Develop models for growth
Drive better sales performance
Drive better decision-making
Identify opportunities
Enhance sales strategies
Collaborate with Data Engineers
Collaborate with Sales Analysts
Integrate models into sales enablement platforms
Ensure delivery of actionable insights
Support adoption of advanced analytics tools
Provide guidance on model outputs
Work closely with senior data scientists
How You'll Work.
Team & Collaboration
Data Engineers; Sales Analysts; Business stakeholders; Senior data scientists; Cross-functional teams
Communication Scope
Translate complex data insights
Full Job Description
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 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. 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 You'll 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 scorin
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