Ebury

4 days ago

Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Build growth and sales enablement predictive models that improve lead scoring, conversion, and profitability. You’ll innovate in growth modelling through experimentation, analyze sales data for actionable insights, and collaborate with data engineers and sales analysts to integrate models into sales platforms. Work with GCP tooling (BigQuery, AI Platform, Cloud Functions) and leverage LLMs to support unstructured-data processing and decision-making across the sales organization.

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Drive innovation in growth modelling by improving methodologies and refining models for accuracy and performance.
•Develop and refine predictive models for sales enablement, including lead scoring, conversion, and profitability models.
•Analyze and optimize sales data to identify patterns, trends, and opportunities that enhance lead scoring and sales strategies.
•Collaborate with data engineers and sales analysts to integrate models into sales enablement platforms and deliver actionable insights.
•Support adoption of advanced analytics tools by providing guidance on model outputs and partnering with senior data scientists for continuous improvement.

Pay and Benefits

Perks:Health Insurance

Key Requirements

•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, including interpreting results and assessing performance.
•Excellent communication and collaboration skills to translate complex insights into business strategies.
•Experience collaborating with cross-functional teams (data engineers, sales analysts, and business stakeholders).

Experience:2+ yearsData scienceMachine learningFintechSales analytics

Skills:CommunicationCollaborationProblem-solvingSelf-motivationCuriosity

Tech Stack:PythonSQLGCPBigQueryAI PlatformCloud FunctionsML LibrariesSalesforceLLMsA/B testing

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

Website LinkedIn

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Ebury

4 days ago

Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Drive innovation in growth modelling by improving methodologies and refining models for accuracy and performance.
•Develop and refine predictive models for sales enablement, including lead scoring, conversion, and profitability models.
•Analyze and optimize sales data to identify patterns, trends, and opportunities that enhance lead scoring and sales strategies.
•Collaborate with data engineers and sales analysts to integrate models into sales enablement platforms and deliver actionable insights.
•Support adoption of advanced analytics tools by providing guidance on model outputs and partnering with senior data scientists for continuous improvement.

Pay and Benefits

Perks:Health Insurance

Key Requirements

•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, including interpreting results and assessing performance.
•Excellent communication and collaboration skills to translate complex insights into business strategies.
•Experience collaborating with cross-functional teams (data engineers, sales analysts, and business stakeholders).

Experience:2+ yearsData scienceMachine learningFintechSales analytics

Skills:CommunicationCollaborationProblem-solvingSelf-motivationCuriosity

Tech Stack:PythonSQLGCPBigQueryAI PlatformCloud FunctionsML LibrariesSalesforceLLMsA/B testing

Company Brief

Ebury

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 2009

Website LinkedIn