Company

DataScientist

Madrid, Spain FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist. Skills: Python, SQL, Statistical modelling, Machine learning. Build relationships with Spanish teams. Develop statistical models”

What You'll Achieve.

Support growth of Spanish business; Deliver analytical projects; Translate complex analysis; Ensure customer outcomes, fairness, experience; Become trusted analytical partner

Industry & Context.

Problems you'll solve

Structured problem solver

What They're Looking For.

Must Have

Python, SQL, Regression, Tree-based methods, Advanced Excel skills

Nice to Have

Post-graduate qualification (MSc or PhD), Azure, Databricks, LLMs (prompting, evaluation, or applied use cases), Collections data, Recoveries data, Distressed debt data, GDPR, Data governance

What You'll Do.

Build relationships with Spanish teams

Develop statistical models

Develop machine learning models

Develop LLM-based models

Understand Spanish data sources

Translate analysis into recommendations

Deploy models into decision-making

Enhance modelling approaches

Enhance analytical tools

How You'll Work.

Team & Collaboration

Collaborate with Spanish Strategy, Operations, Pricing teams; Collaborate with Spanish Data Engineering teams; Collaborate with UK-based Decision Science colleagues; Collaborate with UK-based Data Engineering

Communication Scope

Explain complex ideas clearly to non-technical audiences

Process & Methodology

Contribute to project planning, Contribute to project prioritisation

Full Job Description

The role is **embedded day‑to‑day with the Spanish business** , supporting local Strategy, Operations, and Pricing teams, while also collaborating closely with a broader Decision Science team that is predominantly based in the UK. Strong remote working practices and cross‑country collaboration are therefore essential. The Decision Science team applies statistical modelling, machine learning and emerging AI techniques to: * Understand, measure and predict customer behaviour across the credit lifecycle * Optimise collections and customer treatment strategies * Value portfolios of non‑performing or distressed assets through cash‑flow and cost projections * Improve operational efficiency and customer outcomes through data‑driven decisioning The successful candidate will deliver end‑to‑end analytical solutions that move from data exploration and modelling through to operational deployment and performance monitoring in live business processes. **_Key Outcomes of the Role_** The successful candidate will: * Support the growth of the Spanish business, while benefiting from Group‑level standards, tools and expertise * Deliver hands‑on analytical projects from problem definition through to deployment and monitoring * Translate complex analysis into actionable, commercially viable recommendations * Ensure customer outcomes, fairness and experience are central to decision science work * Become a trusted analytical partner to Spanish stakeholders, while contributing to the wider UK‑based Decision Science team **Key Responsibilities** ** _Direct Responsibilities (Delivery)_** * Build strong working relationships with Spanish Strategy, Operations, Pricing and Data Engineering teams * Develop statistical, machine learning and (where relevant) LLM‑based models to agreed objectives and timelines * Develop deep understanding of Spanish data sources * Translate analysis into commercially viable and operationally realistic recommendations * Work with business and technical teams to ensu

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