Senior Data Scientist | Relocation To Uae

Umatr; España; On-site; PHP 7,524,000 - 11,285,000; Full time

Job summary

Umatr busca un(a) Senior Data Scientist para trabajar en la intersección de investigación de productos financieros, IA y decisión inteligente. Colaborará con equipos de inversión, crédito, tesorería y datos para convertir datos complejos en soluciones basadas en IA.

El rol implica desarrollar modelos de crédito y riesgo, validar salidas y proponer soluciones prácticas que impulsen decisiones comerciales. Se requiere experiencia avanzada en ML, Python y SQL, y capacidad para manejar problemas

Qualifications

• 6+ años de experiencia en Data Science, Modelado Cuantitativo o AI/ML.
• Fuerte experiencia en un dominio financiero (crédito, banca, riesgo).
• Conocimientos en modelado por defecto, LGD, validación de modelos o productos de renta fija.
• Bases sólidas de ML, estadística y ciencia de datos.
• Python avanzado y SQL sólido.
• Capacidad para convertir problemas ambiguos en soluciones basadas en datos o prototipos.
• Comprensión de calidad de datos, señales útiles y validación de salidas de modelos.
• Conocimiento práctico de enfoques de IA modernos (LLMs, RAG, agentes).

Responsibilities

• Investigar nuevos dominios y problemas financieros para entender dónde data/IA añaden valor.
• Identificar y estructurar fuentes de datos financieras y alternativas.
• Desarrollar modelos y enfoques analíticos para crédito, riesgo y flujos de efectivo.
• Conducir problemas ambiguos desde hipótesis iniciales hasta MVP, validación e iteración.
• Explorar automatización de flujos de trabajo financieros con IA.
• Construir soluciones de IA prácticas, incluidas LLM, RAG y flujos basados en agentes.
• Traducir análisis cuantitativos complejos en recomendaciones y herramientas de apoyo a decisiones.
• Presentar hallazgos a inversiones, crédito y equipos de negocio.

Skills

Data science

Python

SQL

ML/AI fundamentals

Problem solving

Communication of results

Tools

XGBoost

LightGBM

SHAP

MLflow

Docker

CI/CD

Job description

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.

What You'll Do

• 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
• Take ambiguous problems from initial hypothesis through to MVP, validation and iteration
• Explore opportunities to automate financial and investment workflows using AI
• Build practical AI solutions, including LLM, RAG and agent-based workflows, where they add genuine value
• Translate complex quantitative analysis into clear recommendations, summaries and decision-support tools
• Present findings and recommendations to investment, credit and business stakeholders

What We're Looking For

• 6+ years of experience in Data Science, Quantitative Modelling or AI/ML
• Strong experience in a financial domain, ideally private credit, lending, underwriting, credit scoring, banking or risk
• Experience with areas such as default modelling, LGD, model validation, credit risk or fixed-income products is highly valuable
• 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
• Practical understanding of modern AI approaches such as LLMs, RAG, agents and orchestration

Nice to Have

• Experience with private credit, investment management, lending or financial products
• Experience with XGBoost, LightGBM, SHAP or other predictive modelling techniques
• Experience building AI-powered internal tools or prototypes
• 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
• Experience with MCP or agent-based systems