Data Science Specialist

As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
Strong ability to interpret, analyse, and validate complex ownership and entity relationship data
High attention to detail with a strong commitment to data accuracy, integrity, and quality control
Proficiency in Microsoft Office applications
Knowledge of SQL, Databricks, Python, or Power BI is considered an asset
Strong proficiency in English, both written and spoken, is required. Professional fluency in Polish, Turkish, or Arabic is a plus
Interest in emerging technologies and willingness to learn how AI-enabled tools can enhance data quality, research capabilities, and operational efficiency
Bachelor's degree (Bachelor Universitaire/Hogeschool) or Master's degree in Economics, Finance, Statistics, Data Analytics, Computer Science, or a related discipline
Responsibilities This role is responsible for managing, enriching, and validating relationship data to ensure the accuracy, consistency, and reliability of information delivered to internal and external clients.
Maintain and enhance relationship data within Moody's relationship data platform using automated feeds, validation workflows, AI-assisted tools, and expert data analysis
Operate control mechanisms and matching processes to ensure data quality and integrity
Respond to client requests and enquiries, providing timely, clear, and effective data support
Support internal and external clients in accessing, understanding, and using relationship and entity data
Continuously review and improve processes and procedures to increase efficiency, speed, and accuracy of data updates
Contribute to the expansion of existing data offerings by researching new data sources and supporting the integration of additional data elements
Produce and maintain high-quality documentation, including internal procedures, data definitions, methodologies, and FAQs
Identify opportunities to leverage emerging technologies, including AI-enabled solutions, to improve data management processes and operational effectiveness
Collaborate with colleagues and stakeholders to support broader data and client service objectives
About the Team The team is responsible for delivering high-quality ownership and entity relationship data to a global client base. Working at the intersection of data, research, client support, and technology, the team plays a critical role in ensuring transparency, accuracy, and trust in complex relationship structures. Through a combination of expert analysis, data-driven processes, and AI-enabled tools, the team continuously improves data coverage, quality, and operational efficiency. Team members are encouraged to explore innovative technologies and contribute to the ongoing evolution of data management, client service, and analytical capabilities in a rapidly changing environment.