AI Data Scientist - Finance & Risk Analytics

PassFort; Brussel Hoofdstad; On-site; EUR 70,000 - 110,000; Full time

Job summary

Moody's is seeking a Data Scientist to join the Data Estate Analytics team in Brussels, Belgium. You will design, build, and deploy AI-powered workflows that enhance data quality and support business decisions across Moody's Analytics.

We value strong Python, SQL, and ML skills, plus experience in productionizing models and collaborating with engineers. Fluency in English is required; experience with Databricks and cloud platforms is a plus.

Qualifications

• Hands-on experience with AI tools to streamline workflows and deploy AI-powered solutions.
• Proficiency in Python, pandas, scikit-learn, and SQL.
• Solid foundation in statistics, predictive modelling, and ML methods.
• Experience deploying ML models into production environments.
• Ability to analyze large datasets and communicate results to stakeholders.
• Familiarity with Git and collaborative software development.

Responsibilities

• Design, build, and deploy machine learning models and AI-powered workflows that improve data quality, business decision-making, and operational efficiency across Moody's Analytics.
• Develop, test, and deploy machine learning models and AI-powered workflows for defined business use cases.
• Translate business problems into analytical approaches, features, and measurable outcomes.
• Explore and analyse large datasets to surface trends, data quality issues, risks, and opportunities.
• Design and run experiments to validate models, track performance metrics, and measure business impact against defined success criteria.
• Partner with Data Engineers to productionize models through pipelines, monitoring, retraining, and integration into downstream systems.
• Document methodology and present findings and model outcomes clearly to technical and business stakeholders.
• Contribute to team standards through code reviews, reusable components, reproducible experiments, and model documentation.

Skills

AI concepts

Python (pandas, scikit-learn)

SQL

Statistics & ML modelling

Production deployment

Data analysis of large datasets

Git version control

English proficiency

Databricks / PySpark

TensorFlow / PyTorch

AWS / cloud platforms

Financial services domain knowledge

Education

Bachelor's or Master's in Data Science / related field

3+ years ML analytics experience

Tools

Git

Databricks / PySpark

TensorFlow / PyTorch

AWS

Job description

Moody's is seeking a Data Scientist to join the Data Estate Analytics team in Brussels, Belgium. You will design, build, and deploy AI-powered workflows that enhance data quality and support business decisions across Moody's Analytics.

We value strong Python, SQL, and ML skills, plus experience in productionizing models and collaborating with engineers. Fluency in English is required; experience with Databricks and cloud platforms is a plus.