Senior Data Scientist - Fintech

Umatr; Córdoba; Presencial; EUR 70.000 - 95.000; Jornada completa

Descripción de la vacante

UMATR is seeking a Senior Data Scientist to work at the intersection of financial-product research, AI and decision intelligence in Córdoba. You will tackle ambiguous commercial problems across credit, lending and investment, turning complex financial data into models and practical AI-powered solutions.

You will collaborate with investment, credit, treasury, Data Science and Engineering teams to identify data sources, build robust models, and deliver dashboards that support key business

Formación

• 6+ years in Data Science, Quantitative Modelling or AI/ML.
• Strong foundations in ML, statistics and data science.
• Advanced Python and strong SQL skills.
• Ability to turn ambiguous business problems into data-driven solutions.
• Familiarity with MLOps, MLflow or model monitoring.

Responsabilidades

• Identify and structure financial data sources for modeling and decision support.
• Develop models across credit scoring, risk, cash-flow forecasting and portfolio analysis.
• Translate complex quantitative analysis into clear recommendations and decision-support tools.

Conocimientos

Data Science experience

Machine learning foundations

Statistics knowledge

Problem solving

Herramientas

Python

SQL

MLOps / MLflow

Streamlit / Tableau / Power BI

PyTorch / TensorFlow

Cloud environments

Docker

CI/CD

APIs

Descripción del empleo

Senior Data Scientist - Fintech UMATR Córdoba, córdoba (comarca); provincia de córdoba; andalucía, Spain

Descripción del trabajo

We’re working with a fast-growing financial technology company based in Abu Dhabi, UAE using AI and decision science to transform how businesses access and deploy growth capital. They’re looking for a Senior Data Scientist to work at the intersection of financial-product research, AI and decision intelligence. You’ll tackle ambiguous commercial problems across credit, lending and investment, turning complex financial data into models, insights and practical AI-powered solutions. You’ll work closely with investment, credit, treasury, Data Science and Engineering teams, helping identify where data and AI can create meaningful commercial advantage. Research new financial domains, products and commercial problems to understand where data and AI can create value Identify, assess and structure relevant financial and alternative data sources Develop models and analytical approaches across areas such as credit scoring, risk assessment, cash-flow forecasting and portfolio analysis Translate complex quantitative analysis into clear recommendations, summaries and decision-support tools

• 6+ years of experience in Data Science, Quantitative Modelling or AI/ML
• ~ Strong foundations in machine learning, statistics and data science
• ~ Advanced Python and strong SQL skills
• ~ Experience taking an ambiguous business problem and independently turning it into a data-driven solution or working prototype
• ~ Strong understanding of how to assess data quality, identify useful signals and validate model outputs
• ~ Familiarity with MLOps, MLflow or model monitoring
• Experience creating simple dashboards or user-facing analytical tools using Streamlit, Tableau or Power BI
• Exposure to PyTorch or TensorFlow
• Experience with financial data platforms, alternative data or large-scale datasets
• Familiarity with cloud environments, APIs, Docker or CI/CD