Senior Data Scientist | Relocation To Uae

Umatr; Huelva; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Umatr is seeking a Senior Data Scientist to work at the intersection of finance, AI and decision science. You will build models for credit, risk, and investment, turning complex data into actionable insights.

Collaborate with cross-functional teams, translate findings into practical recommendations, and deliver MVPs using LLMs, RAG and orchestrated workflows.

The role requires 6+ years in DS/ML, strong Python/SQL, and a track record turning ambiguous problems into data-driven solutions.

Formación

• 6+ years of experience in Data Science, Quantitative Modelling or AI/ML.
• Strong experience in a financial domain (credit, lending, underwriting, risk).
• Advanced Python and SQL skills; ability to turn ambiguous problems into data-driven solutions.

Responsabilidades

• Research new financial domains and data sources to create value.
• Develop models for credit scoring, risk assessment, and forecasting.
• Take problems from hypothesis to MVP with validation and iteration.
• Explore AI workflows including LLMs, RAG and agents.
• Translate analyses into clear recommendations for stakeholders.

Conocimientos

Data Science

Quantitative Modelling

AI/ML

Python

SQL

Problem solving

Educación

Master's degree in a quantitative field

Herramientas

Python

SQL

Pytorch/TensorFlow

Streamlit/Tableau/Power BI

Docker

MLflow

Descripción del empleo

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?