Senior Data Scientist | Relocation To Uae

Umatr; Sevilla; Presencial; EUR 65.000 - 100.000; Jornada completa

Descripción de la vacante

UMATR is seeking a Senior Data Scientist to drive financial-product research and decision intelligence across credit, lending and investment. You’ll tackle ambiguous commercial problems and turn data into models and practical AI-powered solutions.

You’ll collaborate with investment, credit and business teams from Sevilla, with relocation to the UAE. You’ll build models for credit scoring, risk, cash-flow forecasting and portfolio analysis, and advance AI approaches such as LLMs, RAG and

Formación

• 6+ years in Data Science, Quantitative Modelling or AI/ML.
• Strong track record in financial domains such as credit scoring or risk.
• Proficient in Python and SQL, with solid ML fundamentals.

Responsabilidades

• Research and prototype AI/ML models for credit, lending and investment.
• Develop data products and MVPs from hypothesis to validation.
• Collaborate with investment, credit and business stakeholders to translate analysis into decisions.
• Explore LLM, RAG and agent-based workflows to automate processes.

Conocimientos

Data Science

Quantitative Modelling

AI/ML

Python

SQL

Credit Risk

Model Validation

LLMs / RAG

Herramientas

XGBoost

LightGBM

SHAP

PyTorch

TensorFlow

Docker

CI/CD

Descripción del empleo

Senior Data Scientist | Relocation to UAE UMATR•Sevilla, metropolitana de sevilla (comarca); provincia de sevilla; 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.

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

Interested?

Senior Data Scientist | Relocation to UAE • Sevilla, metropolitana de sevilla (comarca); provincia de sevilla; andalucía, Spain