Data Scientist - Fintech

Ebury
Madrid
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Communication","Collaboration","Problem-solving","Self-motivation","Curiosity"]

Build and iterate growth predictive models that improve lead scoring, conversion, and profitability to power the sales enablement process. Use Python, SQL, and machine learning libraries to analyze sales data, refine methodologies, and deliver actionable insights to sales stakeholders. Collaborate with data engineers and sales analysts to integrate models into enablement platforms, support analytics adoption, and continuously improve accuracy and impact.

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FursaFursa
Ebury
Ebury
2 days ago

Data Scientist - Fintech

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and iterate growth predictive models that improve lead scoring, conversion, and profitability to power the sales enablement process. Use Python, SQL, and machine learning libraries to analyze sales data, refine methodologies, and deliver actionable insights to sales stakeholders. Collaborate with data engineers and sales analysts to integrate models into enablement platforms, support analytics adoption, and continuously improve accuracy and impact.
Location: Madrid
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Drive innovation in growth modelling by improving methodologies and refining models to enhance accuracy and performance.
  • •Develop and refine lead scoring, conversion, and profitability models using Python to improve sales performance and decision-making.
  • •Analyze and optimize sales data to identify patterns, trends, and opportunities that strengthen lead scoring and sales strategies.
  • •Collaborate with data engineers and sales analysts to integrate predictive models into sales enablement platforms.
  • •Support adoption of advanced analytics tools by explaining model outputs and partnering with senior data scientists on continuous improvement.

Pay and Benefits

Perks:Health InsurancePaid Leave

Key Requirements

  • •2+ years of experience in Data Science or related roles.
  • •Proficiency in Python and extensive experience with machine learning libraries.
  • •Strong statistical methods and ability to interpret and evaluate machine learning model performance.
  • •Excellent communication and collaboration with data engineers, analysts, and business stakeholders to translate insights into strategy.
  • •Experience collaborating cross-functionally (Data Engineers, Sales Analysts, business stakeholders) to align models with business objectives.
Experience:2+ yearsFintechSales analytics
Skills:CommunicationCollaborationProblem-solvingSelf-motivationCuriosity
Languages:EnglishSpanish
Tech Stack:PythonSQLGCPBigQueryAI PlatformCloud FunctionsMachine learning librariesSalesforceLLMsA/B testingExperiment frameworksCRM

Company Brief

Ebury
Provides international payments, FX, and treasury solutions for SMEs and mid-market companies, enabling cross-border transactions, multi-currency accounts, and financing services to support global trade and cash flow management.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2009
WebsiteLinkedIn