Data Scientist, Strategic Intelligence

15478 At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. 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.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies * 5+ years of experience in data science, applied machine learning, or quantitative modelling roles * Strong Python skills (e.g., pandas, scikit-learn, statsmodels, NLP and deep learning libraries) and proficient SQL * Hands-on experience building predictive models (classification, regression, survival, time-series), including feature engineering, validation, and monitoring * Experience with NLP and unstructured text data, and familiarity with LLM and generative AI techniques (e.g., embeddings, retrieval, prompt design, evaluation) * Solid foundation in statistics, econometrics, and causal inference or experimentation * Experience with Databricks, Spark, MLflow, or comparable cloud-based data and ML platforms (Azure preferred) * Experience working with source control, testing, and deployment best practices for models * Familiarity with BI platforms such as Power BI or Tableau for delivering model outputs * Ability to translate business problems into analytical approaches and quantify commercial impact * Experience working with commercial, customer, financial, risk, product, or operational data * Strong problem-solving and critical thinking skills, with sound judgement on model limitations and uncertainty * Ability to communicate effectively with both technical and non-technical audiences * Preferred: Background in economics or econometrics, with a strong grounding in modern economic thinking * Preferred: Experience in credit risk, financial services, risk analytics, SaaS, or enterprise software organizations * Preferred: Experience with customer analytics such as propensity, churn, account health, or lifetime value modelling * Preferred: Experience with external data sources (e.g., news, filings, firmographic or alternative data) and entity resolution * Preferred: Experience with Unity Catalog, Delta Lake, Azure ML, or Azure OpenAI * Preferred: Experience building and deploying AI-enabled applications, including web-hosted BI products * Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducation * Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Computer Science, Engineering, or a related quantitative field * A Master's degree or PhD is preferred * Equivalent practical experience will also be considered * Relevant certifications in Databricks, cloud platforms, or machine learning are preferred but not requiredResponsibilitiesThe Data Scientist builds AI-enabled predictive models and analytics capabilities that turn internal and external data into trusted, explainable intelli