Location: Madrid

About the Role

We are looking for experienced and inspiring data science leaders who are excited to take ownership of critical areas in the business—such as product optimization, personalization, or marketing—and lead small, collaborative teams to deliver meaningful impact.

As a Lead Data Scientist at Fever, you will combine strong technical skills with an ability to work across diverse teams and projects. You'll use data to solve complex business problems while also supporting the growth and development of your teammates.

This is a highly cross-functional and visible role where your work will directly shape key business and product decisions. You’ll have the chance to influence the direction of the Data Science team and contribute to our shared culture of learning, innovation, and inclusion.

What You’ll Do

• Take full ownership of strategic data science projects, from exploration to deployment
• Guide, mentor, and support a small team of Data Scientists, helping them grow technically and professionally
• Design and build models for personalization, forecasting, user behavior analysis, and marketing efficiency
• Collaborate with Product, Engineering, Marketing, and other teams to turn data insights into real-world impact
• Help prioritize projects effectively based on value and feasibility, keeping a strong product and user focus
• Play an active role in hiring, onboarding, and nurturing an inclusive team culture
• Partner with senior leaders to inform strategic planning for the Data function at Fever

Who You Are

• You have strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus).
• You are confident in exploring data, designing models, and evaluating their performance with rigor
• You thrive in ambiguity, balancing tech health with speed of impact and learning, and are able to help a team incorporate new information as it emerges
• You are skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.).
• You write clean, maintainable, and reproducible code, and can also prototype ideas quickly when needed
• You have experience leading data science projects and know how to deliver valuable insights without overcomplicating the solution
• You enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
• You are curious, resourceful, and proactive when faced with complex challenges.
  
  

Nice to Have

• Experience with recommendation systems, Bayesian modeling, or causal inference
• Background in growth, marketing analytics, or digital product optimization
• Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow
• Exposure to experimentation platforms or production ML pipelines.
  
  

Benefits & Perks

• Bonus linked to performance
• Stock options
• 40% discount on all Fever events and experiences
• Flexible hybrid model
• Health insurance and flexible compensation options via Cobee
• English classes
• Gympass membership
• Salary advance via Payflow

Data Analyst - Credit Risk & Underwriting

Ebury (Madrid) Office - Hybrid: 4 days in the office, 1 day working from home per week

Mission

Join Ebury's Analytics team in Madrid to build and maintain the data models and predictive frameworks that underpin our Underwriting and Credit Risk decisions. You'll go beyond reporting, designing scalable analytics assets, training explainable ML models, and translating risk signals into clear business actions.

What you’ll do

• Design, build, and maintain robust dbt data models that transform raw data into analytics-ready assets for Credit Risk and Underwriting.
• Write and optimise complex SQL and Python pipelines to model credit outcomes and surface early warning signals.
• Train, validate, and document explainable ML models (e.g., logistic regression, gradient-boosted trees) to predict defaults and portfolio behaviour.
• Own key Underwriting and Credit Risk KPIs, ensuring dashboards are accurate and up to date.
• Build and maintain dashboards in Sigma and Looker Studio that make risk data accessible to Business and Product stakeholders.
• Partner with Underwriting, Credit Risk, and Product teams to turn model outputs into actionable strategy.

What you'll own

• The end-to-end data modelling layer for Underwriting and Credit Risk analytics.
• Portfolio health monitoring and alerting framework.
• Documentation and explainability artefacts for all production ML models.
• Stakeholder-facing dashboards and regular risk reporting cadence.

Tech stack & environment

• Languages: SQL, Python
• Data modelling: dbt
• BI / visualisation: Sigma, Looker Studio
• ML modelling: Predictive modeling (XGBoost, CatBoost, Scikit-learn)
• Cloud / warehouse: BigQuery, GCP

What you’ll need

• 2+ years in a data-focused role within Banking, Fintech, or Consultancy. 
• Strong SQL — comfortable writing complex joins, window functions, and CTEs at scale.
• Working proficiency in Python for data analysis and modelling.
• Experience building and maintaining dbt projects.
• Foundational understanding of supervised learning techniques and model evaluation (precision, recall, AUC, etc.).
• Ability to explain technical findings to non-technical stakeholders clearly and directly.
• Fluent English (written and spoken).
• High standards for data quality and reproducibility

Nice-to-have skills

• Direct experience with Credit Risk analytics or default modelling.
• Familiarity with Sigma and/or Looker Studio.
• Exposure to version-controlled analytics workflows (Git-based dbt projects).
• Experience with model monitoring and drift detection in production.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Office: A fantastic location with excellent transport links.

#LI-JC1

#LI-HYBRID