Senior Data Scientist | Relocation To Uae

Umatr; Tarragona; Presencial; EUR 78.000 - 112.000; Jornada completa

Descripción de la vacante

UMATR Tarragona is seeking a Senior Data Scientist to join our Abu Dhabi-based fintech team, relocating to UAE. The role focuses on AI-driven credit and risk using modern data science practices across modeling, validation and deployment.

You will lead research, build, and deploy AI solutions (LLMs, RAG, agents) to support investment and lending decisions, presenting actionable insights to stakeholders.

Formación

• 6+ years of experience in Data Science, Quantitative Modelling or AI/ML.
• Strong experience in a financial domain (private credit, lending, underwriting, credit scoring or risk).
• Advanced Python and strong SQL skills.
• Experience turning ambiguous business problems into data-driven solutions or working prototype.

Responsabilidades

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

Conocimientos

Python

SQL

Machine Learning

Data Science

Financial domain

Ambiguity to solution

Herramientas

Docker

Streamlit

Tableau

Power BI

MLflow

PyTorch

TensorFlow

Descripción del empleo

Senior Data Scientist | Relocation to UAE UMATR Tarragona, tarragonés (comarca); provincia de tarragona; cataluña, 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.

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