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# Data Scientist

- **Company:** Número De
- **Location:** Barcelona, Spain (Remote available)
- **Salary:** €48,000.0 - €60,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Infrastructure, Python (Programming Language), Machine Learning, Standard Sql, Data Processing, Scripting, Information Technology
- **Published:** August 6, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ At least 5 years professional experience related to data science.
 + BS in Mathematics, Economics, Computer Science, Physics or Statistics.
 + Excellent knowledge of SQL and Python (or a similar scripting language).
 + Knowledge of machine learning and statistical modeling techniques.
 + Strong analytical and problem-solving skills.
 + Good project management skills.
 + Proactive attitude, sense of ownership, ability to work autonomously but also to coach other team members.
 + Having a startup mindset and willingness to work in a fast evolving environment.
 + Fluency in spoken and written English.
 + Passion about what you do.
BONUS POINTS IF YOU HAVE:

 + Experience of project and people leadership.
 + Previous work experience in the Financial/Fintech sector.

## Description

As a Data Scientist you will be at the forefront of underwriting development, defining how and what data should be collected to improve our decision making and enable discovery of actionable insights that will improve the experience of our customers in 8 countries. You will be helping Product and Risk Managers make data-informed decisions and lead your own projects. With us, you can push your creative ideas forward and take care of making innovation in the data-driven world!
Requirements
YOUR DAILY ADVENTURES WILL INCLUDE:

 + Build models based on data to predict customers' payment behavior.
 + Design A/B experiments, analyze the results, and provide decision recommendations.
 + Work in tight cooperation with stakeholders to analyze complex data and provide data-driven insights for business-critical decisions.
 + Review the work and provide feedback to data analysts and data scientists.
 + Share your knowledge and provide training on best practices in data processing and analytics methodologies.
 + Define data science strategy, communicate and align it with the management and other teams.
 + Propose, assess, prioritize, and lead data science projects.
 + Work closely with data engineers to ensure the best possible data infrastructure across products.
 + Research and implement best practices and standards in Data Science across product teams.


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